CRAN Package Check Results for Package EpiModel

Last updated on 2025-12-26 11:52:07 CET.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	2.5.0	34.89	585.47	620.36	ERROR
r-devel-linux-x86_64-debian-gcc	2.5.0	22.03	397.63	419.66	ERROR
r-devel-linux-x86_64-fedora-clang	2.5.0	67.00	734.12	801.12	ERROR
r-devel-linux-x86_64-fedora-gcc	2.5.0	63.00	755.60	818.60	ERROR
r-devel-windows-x86_64	2.5.0	40.00	594.00	634.00	OK
r-patched-linux-x86_64	2.5.0	35.95	559.54	595.49	OK
r-release-linux-x86_64	2.5.0	33.58	555.35	588.93	OK
r-release-macos-arm64	2.5.0				OK
r-release-macos-x86_64	2.5.0	19.00	482.00	501.00	OK
r-release-windows-x86_64	2.5.0	39.00	567.00	606.00	OK
r-oldrel-macos-arm64	2.5.0				OK
r-oldrel-macos-x86_64	2.5.0	19.00	257.00	276.00	OK
r-oldrel-windows-x86_64	2.5.0	52.00	821.00	873.00	NOTE

Check Details

Version: 2.5.0
Check: examples
Result: ERROR Running examples in ‘EpiModel-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: get_sims > ### Title: Extract Network Simulations > ### Aliases: get_sims > ### Keywords: extract > > ### ** Examples > > # Network model estimation > nw <- network_initialize(n = 100) > formation <- ~edges > target.stats <- 50 > coef.diss <- dissolution_coefs(dissolution = ~offset(edges), duration = 20) > est1 <- netest(nw, formation, target.stats, coef.diss, verbose = FALSE) Starting maximum pseudolikelihood estimation (MPLE): Obtaining the responsible dyads. Evaluating the predictor and response matrix. Maximizing the pseudolikelihood. Finished MPLE. > > # Epidemic model > param <- param.net(inf.prob = 0.3) > init <- init.net(i.num = 10) > control <- control.net(type = "SI", nsteps = 10, nsims = 3, verbose.int = 0) > mod1 <- netsim(est1, param, init, control) Starting Network Simulation... Sim = 1/3 Sim = 2/3 Sim = 3/3> > # Get sim 2 > s.g2 <- get_sims(mod1, sims = 2) > > # Get sims 2 and 3 and keep only a subset of variables > s.g2.small <- get_sims(mod1, sims = 2:3, var = c("i.num", "si.flow")) > > # Extract the mean simulation for the variable i.num > sim.mean <- get_sims(mod1, sims = "mean", var = "i.num") Error in xtfrm.data.frame(list(sim1 = 1.66666666666667, sim2 = 0.333333333333332, : cannot xtfrm data frames Calls: get_sims -> xtfrm -> xtfrm.data.frame Execution halted Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 2.5.0
Check: tests
Result: ERROR Running ‘test-all.R’ [346s/420s] Running the tests in ‘tests/test-all.R’ failed. Complete output: > library(testthat) > test_check("EpiModel") Loading required package: EpiModel Loading required package: deSolve Loading required package: networkDynamic Loading required package: network 'network' 1.19.0 (2024-12-08), part of the Statnet Project * 'news(package="network")' for changes since last version * 'citation("network")' for citation information * 'https://statnet.org' for help, support, and other information 'networkDynamic' 0.11.5 (2024-11-21), part of the Statnet Project * 'news(package="networkDynamic")' for changes since last version * 'citation("networkDynamic")' for citation information * 'https://statnet.org' for help, support, and other information Loading required package: tergm Loading required package: ergm 'ergm' 4.11.0 (2025-12-22), part of the Statnet Project * 'news(package="ergm")' for changes since last version * 'citation("ergm")' for citation information * 'https://statnet.org' for help, support, and other information 'ergm' 4 is a major update that introduces some backwards-incompatible changes. Please type 'news(package="ergm")' for a list of major changes. 'tergm' 4.2.2 (2025-06-15), part of the Statnet Project * 'news(package="tergm")' for changes since last version * 'citation("tergm")' for citation information * 'https://statnet.org' for help, support, and other information Attaching package: 'tergm' The following object is masked from 'package:ergm': snctrl Loading required package: statnet.common Attaching package: 'statnet.common' The following object is masked from 'package:ergm': snctrl The following objects are masked from 'package:base': attr, order, replace Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Static Simulations: 10 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 48.2 -3.6 0.763 -2.359 NA offset(deg6+) NA 0.0 NA NaN NA NA nodematch.sex 0 0.0 NaN NaN NaN NA nodematch.race 20 17.1 -14.5 0.912 -3.179 NA deg6+ 0 0.0 NaN NaN NaN NA offset(nodematch.sex) NA 0.0 NA NaN NA NA degree5 0 0.0 NaN NaN NaN NA SD(Statistic) edges 6.125 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 2.885 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Network Diagnostics ----------------------- - Simulating 10 networks |**********| - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Dynamic Simulations: 10 Time Steps per Sim: 5 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 48.62 -2.76 0.627 -2.203 3.775 offset(deg6+) NA 0.00 NA NaN NA 0.000 nodematch.sex 0 0.00 NaN NaN NaN 0.000 nodematch.race 20 20.38 1.90 0.376 1.012 2.260 deg6+ 0 0.00 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.00 NA NaN NA 0.000 degree5 0 0.00 NaN NaN NaN 0.000 SD(Statistic) edges 4.430 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 2.656 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.446 -5.543 0.173 -3.199 1.309 1.331 Dissolution Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.108 8.301 0.004 1.922 0.014 0.045 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 2 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.5 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 sim2 Transmissions: sim1 sim2 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 47.6 -4.8 1.408 -1.705 1.131 offset(deg6+) NA 0.0 NA NaN NA 0.000 nodematch.sex 0 0.0 NaN NaN NaN 0.000 nodematch.race 20 20.8 4.0 1.405 0.569 5.374 deg6+ 0 0.0 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.0 NA NaN NA 0.000 degree5 0 0.0 NaN NaN NaN 0.000 SD(Statistic) edges 4.452 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 4.442 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.1 0.995 0.429 0.232 1.433 1.358 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.11 10.355 0.011 0.908 0.013 0.036 Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Static Simulations: 10 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 54.5 9.0 1.579 2.849 NA offset(deg6+) NA 0.0 NA NaN NA NA nodematch.sex 0 0.0 NaN NaN NaN NA nodematch.race 20 22.3 11.5 1.012 2.274 NA deg6+ 0 0.0 NaN NaN NaN NA offset(nodematch.sex) NA 0.0 NA NaN NA NA degree5 0 0.0 NaN NaN NaN NA SD(Statistic) edges 4.994 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 3.199 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Network Diagnostics ----------------------- - Simulating 10 networks |**********| - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Dynamic Simulations: 10 Time Steps per Sim: 5 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 51.04 2.08 0.906 1.148 6.342 offset(deg6+) NA 0.00 NA NaN NA 0.000 nodematch.sex 0 0.00 NaN NaN NaN 0.000 nodematch.race 20 20.82 4.10 0.594 1.380 4.039 deg6+ 0 0.00 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.00 NA NaN NA 0.000 degree5 0 0.00 NaN NaN NaN 0.000 SD(Statistic) edges 6.408 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 4.202 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.887 -1.128 0.168 -0.671 1.413 1.422 Dissolution Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.1 -0.264 0.005 -0.055 0.018 0.038 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 2 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.5 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 sim2 Transmissions: sim1 sim2 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 49.7 -0.6 2.422 -0.124 9.475 offset(deg6+) NA 0.0 NA NaN NA 0.000 nodematch.sex 0 0.0 NaN NaN NaN 0.000 nodematch.race 20 21.3 6.5 1.055 1.233 3.536 deg6+ 0 0.0 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.0 NA NaN NA 0.000 degree5 0 0.0 NaN NaN NaN 0.000 SD(Statistic) edges 7.660 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 3.335 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.569 -4.309 0.312 -1.379 1.272 0.988 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.092 -8.029 0.018 -0.436 0.007 0.058 Saving _problems/test-get-90.R Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = FALSE tergmLite = FALSE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 10 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 16 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0 NA NaN NA 0 0 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.05 -9.502 0.257 -3.699 0.952 0.995 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.087 -13.122 0.015 -0.862 0.031 0.059 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0 NA NaN NA 0 0 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.05 -9.502 0.257 -3.699 0.952 0.995 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.087 -13.122 0.015 -0.862 0.031 0.059 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 22.600 -9.600 1.166 -2.058 0.872 nodematch.race 10 9.933 -0.667 0.458 -0.145 0.833 SD(Statistic) edges 4.517 nodematch.race 2.492 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.017 1.678 0.008 2.119 0.01 0.031 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.98 -1.968 0.01 -1.903 0.009 0.04 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) mean.age NA 3.664 NA 0.332 NA 0.197 1.284 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 18.73 -6.352 0.989 -1.285 4.438 3.83 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.058 15.02 0.009 0.823 0.019 0.035 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 15.933 NA 1.021 NA 1.102 3.955 degree1 NA 20.133 NA 0.524 NA 1.858 2.031 degree2 NA 9.600 NA 0.522 NA 1.058 3.019 degree3 NA 3.667 NA 0.412 NA 1.677 2.257 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.013 1.333 0.006 2.167 0.012 0.03 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.989 -1.111 0.005 -2.279 0.011 0.024 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.733 -1.067 0.686 -0.389 5.515 nodematch.race 10 11.000 10.000 0.717 1.394 3.175 SD(Statistic) edges 4.728 nodematch.race 2.777 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 17.169 -14.153 0.543 -5.212 1.761 2.051 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.068 36.365 0.01 1.773 0.029 0.051 Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 27 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 24 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0.212 NA 0.117 NA 0.292 0.415 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 11.26 12.598 0.818 1.54 2.155 2.324 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.091 -9.385 0.01 -0.95 0.013 0.05 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0.212 NA 0.117 NA 0.292 0.415 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 11.26 12.598 0.818 1.54 2.155 2.324 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.091 -9.385 0.01 -0.95 0.013 0.05 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 23.788 -4.848 0.823 -1.473 0.729 nodematch.race 10 10.091 0.909 0.203 0.449 0.241 SD(Statistic) edges 4.729 nodematch.race 2.720 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.017 1.676 0.005 3.657 0.002 0.026 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.98 -1.965 0.006 -3.374 0.004 0.033 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) mean.age NA 5.928 NA 1.112 NA 0.377 2.429 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.202 -3.989 0.769 -1.038 4.52 3.863 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.048 -4.638 0.005 -0.488 0.008 0.036 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 17.364 NA 0.806 NA 1.429 5.147 degree1 NA 19.273 NA 0.372 NA 0.744 3.564 degree2 NA 9.424 NA 0.476 NA 1.392 3.553 degree3 NA 3.182 NA 0.158 NA 0.958 2.038 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.018 1.751 0.004 4.705 0.013 0.032 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.984 -1.645 0.004 -3.68 0.014 0.032 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.061 -3.758 1.007 -0.933 4.504 nodematch.race 10 10.212 2.121 0.600 0.354 3.358 SD(Statistic) edges 4.062 nodematch.race 2.997 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 17.199 -14.003 0.285 -9.816 1.804 1.787 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.056 11.662 0.007 0.828 0.015 0.048 Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = FALSE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 10 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 22 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.467 NA 0.235 NA 0.643 nodefactor.deg.4.1 NA 18.267 NA 1.062 NA 2.403 SD(Statistic) triangle 0.743 nodefactor.deg.4.1 4.114 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.091 -9.092 0.343 -2.652 1.33 1.328 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.08 -20.093 0.016 -1.241 0.026 0.063 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.467 NA 0.235 NA 0.643 nodefactor.deg.4.1 NA 18.267 NA 1.062 NA 2.403 SD(Statistic) triangle 0.743 nodefactor.deg.4.1 4.114 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.091 -9.092 0.343 -2.652 1.33 1.328 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.08 -20.093 0.016 -1.241 0.026 0.063 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.400 -2.400 1.290 -0.465 3.904 nodematch.race 10 9.533 -4.667 0.583 -0.800 1.701 SD(Statistic) edges 4.997 nodematch.race 2.875 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.027 2.725 0.011 2.56 0.012 0.041 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.974 -2.574 0.009 -2.736 0.009 0.036 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.641 NA 0.318 NA 0.105 nodefactor.deg.2.2 NA 9.133 NA 0.614 NA 0.833 SD(Statistic) mean.age 1.233 nodefactor.deg.2.2 3.067 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 20.445 2.223 0.705 0.631 2.968 2.729 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.047 -5.953 0.011 -0.265 0.02 0.044 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 17.733 NA 0.881 NA 2.053 3.411 degree1 NA 19.400 NA 1.032 NA 2.117 3.996 degree2 NA 9.200 NA 0.863 NA 0.721 3.342 degree3 NA 2.667 NA 0.245 NA 1.026 1.799 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.034 3.421 0.009 3.949 0.018 0.034 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.967 -3.259 0.008 -3.936 0.016 0.032 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 26.667 6.667 0.308 5.420 2.901 nodematch.race 10 11.000 10.000 0.414 2.415 1.587 nodefactor.deg.5.1 NA 15.400 NA 0.820 NA 3.200 SD(Statistic) edges 2.582 nodematch.race 1.604 nodefactor.deg.5.1 3.203 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 23.082 15.41 1.189 2.593 5.083 4.604 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.061 22.68 0.008 1.497 0.004 0.048 Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 26 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 26 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 27 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 29 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 31 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 31 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.212 NA 0.148 NA 0.292 nodefactor.deg.4.1 NA 18.758 NA 0.822 NA 1.837 SD(Statistic) triangle 0.545 nodefactor.deg.4.1 4.724 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 11.184 11.845 0.352 3.37 1.368 1.484 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.091 -9.249 0.011 -0.84 0.013 0.063 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.212 NA 0.148 NA 0.292 nodefactor.deg.4.1 NA 18.758 NA 0.822 NA 1.837 SD(Statistic) triangle 0.545 nodefactor.deg.4.1 4.724 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 11.184 11.845 0.352 3.37 1.368 1.484 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.091 -9.249 0.011 -0.84 0.013 0.063 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.485 1.939 1.237 0.392 2.728 nodematch.race 10 9.788 -2.121 0.436 -0.487 1.211 SD(Statistic) edges 5.718 nodematch.race 3.170 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.022 2.183 0.004 5.522 0.009 0.033 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.978 -2.196 0.003 -7.238 0.011 0.033 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.839 NA 1.088 NA 0.198 nodefactor.deg.2.2 NA 9.758 NA 0.642 NA 2.767 SD(Statistic) mean.age 2.379 nodefactor.deg.2.2 4.677 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 16.992 -15.038 0.619 -4.855 2.288 2.478 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.053 6.686 0.007 0.449 0.015 0.043 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.515 NA 0.623 NA 1.959 3.581 degree1 NA 18.636 NA 0.604 NA 1.106 3.471 degree2 NA 9.485 NA 0.457 NA 0.892 3.650 degree3 NA 2.424 NA 0.295 NA 0.430 1.696 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.024 2.441 0.004 6.904 0.007 0.029 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.974 -2.613 0.006 -4.387 0.008 0.034 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.303 1.212 0.787 0.385 3.046 nodematch.race 10 10.576 5.758 0.437 1.316 1.325 nodefactor.deg.5.1 NA 15.424 NA 0.598 NA 1.821 SD(Statistic) edges 3.405 nodematch.race 1.821 nodefactor.deg.5.1 2.463 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 20.784 3.922 0.71 1.105 2.914 2.877 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.056 11.873 0.007 0.811 0.011 0.05 Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = FALSE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 10 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 11 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 13 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 12 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 12 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 9 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 11 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 11 Population Size: 53 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.000 NA NaN NA 0.000 nodefactor.deg.4.1 NA 15.533 NA 0.612 NA 3.443 SD(Statistic) triangle 0.000 nodefactor.deg.4.1 4.438 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.762 -2.38 0.432 -0.551 1.353 1.673 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.124 24.231 0.02 1.222 0.026 0.077 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.000 NA NaN NA 0.000 nodefactor.deg.4.1 NA 15.533 NA 0.612 NA 3.443 SD(Statistic) triangle 0.000 nodefactor.deg.4.1 4.438 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.762 -2.38 0.432 -0.551 1.353 1.673 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.124 24.231 0.02 1.222 0.026 0.077 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.333 -2.667 1.027 -0.649 1.026 nodematch.race 10 10.333 3.333 0.591 0.564 1.102 SD(Statistic) edges 3.976 nodematch.race 2.289 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.016 1.624 0.011 1.502 0.016 0.034 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.982 -1.794 0.011 -1.571 0.019 0.036 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.426 NA 0.253 NA 0.204 nodefactor.deg.2.2 NA 8.467 NA 0.764 NA 2.802 SD(Statistic) mean.age 0.978 nodefactor.deg.2.2 3.980 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.13 -4.351 1.198 -0.726 4.612 4.639 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.139 178.163 0.025 3.562 0.046 0.097 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 20.133 NA 0.744 NA 0.643 5.139 degree1 NA 17.533 NA 0.975 NA 0.611 3.777 degree2 NA 7.933 NA 1.002 NA 0.757 3.882 degree3 NA 2.733 NA 0.299 NA 0.416 1.792 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.018 1.795 0.004 5.109 0.004 0.024 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.978 -2.194 0.008 -2.719 0.005 0.031 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 18.867 -24.533 0.542 -11.312 0.808 nodematch.race 10 7.333 -26.667 1.080 -2.469 3.870 nodefactor.deg.5.1 NA 19.133 NA 0.386 NA 0.503 SD(Statistic) edges 2.100 nodematch.race 3.416 nodefactor.deg.5.1 2.031 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.974 -0.129 1.068 -0.024 4.412 4.137 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.105 109.715 0.019 2.826 0.017 0.075 Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 15 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 18 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 19 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 19 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 20 Population Size: 46 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 14 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 15 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 17 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 17 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 16 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 17 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 12 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 12 Population Size: 55 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 14 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 16 Population Size: 56 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 16 Population Size: 55 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 16 Population Size: 52 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.121 NA 0.197 NA 0.210 nodefactor.deg.4.1 NA 14.939 NA 0.836 NA 3.443 SD(Statistic) triangle 0.331 nodefactor.deg.4.1 4.802 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.084 -9.157 0.344 -2.665 1.088 1.946 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.148 47.603 0.008 6.128 0.009 0.101 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.121 NA 0.197 NA 0.210 nodefactor.deg.4.1 NA 14.939 NA 0.836 NA 3.443 SD(Statistic) triangle 0.331 nodefactor.deg.4.1 4.802 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.084 -9.157 0.344 -2.665 1.088 1.946 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.148 47.603 0.008 6.128 0.009 0.101 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 23.697 -5.212 0.808 -1.613 1.589 nodematch.race 10 9.727 -2.727 0.489 -0.558 1.139 SD(Statistic) edges 4.640 nodematch.race 2.809 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.015 1.462 0.006 2.598 0.006 0.028 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.985 -1.453 0.006 -2.617 0.008 0.028 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.282 NA 0.863 NA 0.224 nodefactor.deg.2.2 NA 7.121 NA 0.750 NA 0.548 SD(Statistic) mean.age 2.030 nodefactor.deg.2.2 3.756 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 16.993 -15.034 0.749 -4.016 0.992 2.186 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.123 145.051 0.015 4.788 0.01 0.087 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 19.152 NA 0.691 NA 2.003 5.274 degree1 NA 18.576 NA 0.476 NA 1.211 3.825 degree2 NA 8.485 NA 0.355 NA 0.955 3.675 degree3 NA 3.030 NA 0.251 NA 0.845 1.845 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.027 2.712 0.004 6.493 0.005 0.032 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.972 -2.84 0.004 -7.88 0.005 0.032 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 17.848 -28.606 0.538 -13.297 1.747 nodematch.race 10 6.455 -35.455 0.574 -6.175 3.087 nodefactor.deg.5.1 NA 17.848 NA 0.583 NA 1.211 SD(Statistic) edges 2.647 nodematch.race 2.980 nodefactor.deg.5.1 2.874 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 15.916 -20.418 0.776 -5.259 1.173 3.131 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.115 129.18 0.01 6.69 0.024 0.076 Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = TRUE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 15 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 15 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 15 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 18 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.000 NA NaN NA 0.0 nodefactor.deg.4.1 NA 17.867 NA 1.496 NA 3.7 SD(Statistic) triangle 0.000 nodefactor.deg.4.1 5.792 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.000 NA NaN NA 0.0 nodefactor.deg.4.1 NA 17.867 NA 1.496 NA 3.7 SD(Statistic) triangle 0.000 nodefactor.deg.4.1 5.792 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 27.133 8.533 0.689 3.094 2.894 nodematch.race 10 11.467 14.667 0.872 1.682 1.102 SD(Statistic) edges 4.172 nodematch.race 3.378 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.693 NA 0.339 NA 0.112 nodefactor.deg.2.2 NA 9.867 NA 0.374 NA 2.274 SD(Statistic) mean.age 1.312 nodefactor.deg.2.2 3.091 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 20.600 NA 0.603 NA 1.311 4.611 degree1 NA 17.933 NA 0.549 NA 0.416 3.634 degree2 NA 7.933 NA 0.714 NA 0.833 2.764 degree3 NA 2.800 NA 0.449 NA 0.600 1.740 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 29.400 17.600 1.119 3.932 7.034 nodematch.race 10 13.467 34.667 0.331 10.472 0.611 nodefactor.deg.5.1 NA 21.800 NA 0.677 NA 4.133 SD(Statistic) edges 6.334 nodematch.race 1.246 nodefactor.deg.5.1 3.668 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 29 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 26 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 30 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 32 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 34 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.152 NA 0.086 NA 0.139 nodefactor.deg.4.1 NA 17.455 NA 1.027 NA 4.366 SD(Statistic) triangle 0.364 nodefactor.deg.4.1 5.901 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.152 NA 0.086 NA 0.139 nodefactor.deg.4.1 NA 17.455 NA 1.027 NA 4.366 SD(Statistic) triangle 0.364 nodefactor.deg.4.1 5.901 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 26.788 7.152 0.605 2.957 0.41 nodematch.race 10 10.333 3.333 0.570 0.585 0.41 SD(Statistic) edges 4.519 nodematch.race 3.276 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.706 NA 0.977 NA 0.492 nodefactor.deg.2.2 NA 9.242 NA 0.273 NA 2.680 SD(Statistic) mean.age 2.278 nodefactor.deg.2.2 4.198 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 19.182 NA 0.808 NA 0.328 4.640 degree1 NA 18.303 NA 0.374 NA 0.458 3.331 degree2 NA 8.636 NA 0.503 NA 0.808 2.892 degree3 NA 3.030 NA 0.303 NA 0.262 1.741 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 28.727 14.909 1.732 2.152 5.565 nodematch.race 10 13.030 30.303 0.646 4.692 1.538 nodefactor.deg.5.1 NA 21.455 NA 0.784 NA 2.461 SD(Statistic) edges 5.137 nodematch.race 1.828 nodefactor.deg.5.1 3.001 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = TRUE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 12 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 13 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 16 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 11 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 10 Population Size: 53 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 10 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 10 Population Size: 56 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 11 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 16 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 18 Population Size: 49 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.200 NA 0.251 NA 0.346 nodefactor.deg.4.1 NA 16.267 NA 0.832 NA 0.577 SD(Statistic) triangle 0.561 nodefactor.deg.4.1 4.166 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.200 NA 0.251 NA 0.346 nodefactor.deg.4.1 NA 16.267 NA 0.832 NA 0.577 SD(Statistic) triangle 0.561 nodefactor.deg.4.1 4.166 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 23.933 -4.267 0.726 -1.470 2.318 nodematch.race 10 9.267 -7.333 0.864 -0.848 0.987 SD(Statistic) edges 4.621 nodematch.race 3.348 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.579 NA 0.313 NA 0.185 nodefactor.deg.2.2 NA 8.533 NA 1.004 NA 2.603 SD(Statistic) mean.age 1.211 nodefactor.deg.2.2 3.889 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 20.600 NA 0.844 NA 1.970 3.269 degree1 NA 18.667 NA 0.430 NA 0.833 2.289 degree2 NA 8.733 NA 0.262 NA 2.023 2.658 degree3 NA 2.400 NA 0.375 NA 0.400 1.454 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 21.533 -13.867 1.929 -1.797 7.700 nodematch.race 10 9.933 -0.667 1.026 -0.065 3.408 nodefactor.deg.5.1 NA 19.733 NA 0.502 NA 2.723 SD(Statistic) edges 7.472 nodematch.race 3.973 nodefactor.deg.5.1 2.865 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 18 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 22 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 21 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 24 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 24 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 24 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 12 Population Size: 56 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 15 Population Size: 57 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 16 Population Size: 56 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 17 Population Size: 57 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 21 Population Size: 60 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 21 Population Size: 64 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 21 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 21 Population Size: 46 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 21 Population Size: 44 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 22 Population Size: 44 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 24 Population Size: 43 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 27 Population Size: 44 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.091 NA 0.116 NA 0.157 nodefactor.deg.4.1 NA 14.273 NA 0.596 NA 1.703 SD(Statistic) triangle 0.384 nodefactor.deg.4.1 4.739 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.091 NA 0.116 NA 0.157 nodefactor.deg.4.1 NA 14.273 NA 0.596 NA 1.703 SD(Statistic) triangle 0.384 nodefactor.deg.4.1 4.739 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.242 0.970 0.701 0.346 1.533 nodematch.race 10 10.212 2.121 0.249 0.853 1.514 SD(Statistic) edges 5.202 nodematch.race 3.160 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.588 NA 1.031 NA 0.448 nodefactor.deg.2.2 NA 7.485 NA 0.673 NA 1.241 SD(Statistic) mean.age 2.245 nodefactor.deg.2.2 3.429 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 19.424 NA 0.353 NA 1.560 3.700 degree1 NA 19.182 NA 0.356 NA 1.376 3.770 degree2 NA 8.818 NA 0.476 NA 0.636 2.732 degree3 NA 2.697 NA 0.233 NA 0.262 1.704 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 18.485 -26.061 2.535 -2.570 6.417 nodematch.race 10 8.727 -12.727 0.806 -1.578 2.993 nodefactor.deg.5.1 NA 19.000 NA 0.722 NA 3.364 SD(Statistic) edges 6.847 nodematch.race 3.511 nodefactor.deg.5.1 3.666 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.047619 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.071429 [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.000000 1.000000 1.000000 1.000000 1.038462 1.033333 1.000000 1.000000 [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.888889 2.846154 3.241379 4.103448 1.896552 2.720000 3.370370 4.107143 [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.909091 2.794118 3.586207 4.096774 1.933333 2.588235 2.947368 3.937500 Network Diagnostics ----------------------- - Simulating 100 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 100 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 100 networks Network Diagnostics ----------------------- - Simulating 2 networks | Network Diagnostics ----------------------- - Simulating 100 networks Network Diagnostics ----------------------- - Simulating 2 networks | Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks Network Diagnostics ----------------------- - Simulating 2 networks | Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics[ FAIL 1 | WARN 2 | SKIP 113 | PASS 2147 ] ══ Skipped tests (113) ═════════════════════════════════════════════════════════ • On CRAN (113): 'test-cumulative_edgelist.R:20:3', 'test-cumulative_edgelist.R:85:3', 'test-cumulative_edgelist.R:106:3', 'test-dcm-long.R:6:3', 'test-dcm-long.R:22:3', 'test-dcm-long.R:41:3', 'test-dcm-long.R:60:3', 'test-dcm-long.R:79:3', 'test-dcm-long.R:99:3', 'test-dcm-long.R:120:3', 'test-dcm-long.R:135:3', 'test-dcm-long.R:151:3', 'test-dcm-long.R:171:3', 'test-dcm-long.R:194:3', 'test-dcm-long.R:209:3', 'test-dcm-long.R:225:3', 'test-dcm-long.R:245:3', 'test-dcm-long.R:262:3', 'test-dcm-long.R:277:3', 'test-dcm-long.R:293:3', 'test-dcm-long.R:314:3', 'test-dcm-long.R:339:3', 'test-dcm-long.R:354:3', 'test-dcm-long.R:371:3', 'test-dcm-long.R:390:3', 'test-dcm-long.R:411:3', 'test-dcm-long.R:426:3', 'test-dcm-long.R:442:3', 'test-dcm-long.R:462:3', 'test-dcm-long.R:487:3', 'test-ergm.ego.R:6:3', 'test-icm-long.R:6:3', 'test-icm-long.R:30:3', 'test-icm-long.R:55:3', 'test-icm-long.R:79:3', 'test-icm-long.R:102:3', 'test-icm-long.R:127:3', 'test-icm-long.R:150:3', 'test-icm-long.R:174:3', 'test-icm-long.R:199:3', 'test-icm-long.R:229:3', 'test-icm-long.R:252:3', 'test-icm-long.R:275:3', 'test-icm-long.R:300:3', 'test-icm-long.R:324:3', 'test-icm-long.R:348:3', 'test-icm-long.R:372:3', 'test-icm-long.R:398:3', 'test-icm-long.R:427:3', 'test-icm-long.R:459:3', 'test-icm-long.R:483:3', 'test-icm-long.R:507:3', 'test-icm-long.R:530:3', 'test-icm-long.R:552:3', 'test-icm-long.R:575:3', 'test-icm-long.R:598:3', 'test-icm-long.R:622:3', 'test-icm-long.R:647:3', 'test-net-long.R:4:3', 'test-net-long.R:290:3', 'test-net-long.R:335:3', 'test-net-long.R:352:3', 'test-net-long.R:454:3', 'test-net-long.R:567:3', 'test-net-long.R:653:3', 'test-net-long.R:698:3', 'test-net-tergmLite.R:6:3', 'test-net-tergmLite.R:56:3', 'test-net-tergmLite.R:112:3', 'test-net-tergmLite.R:171:3', 'test-net-tergmLite.R:231:3', 'test-netattr.R:32:3', 'test-netattr.R:51:3', 'test-netattr.R:100:3', 'test-netattr.R:150:3', 'test-netattr.R:185:3', 'test-netattr.R:214:3', 'test-netdx.R:6:5', 'test-netdx.R:75:5', 'test-netdx.R:100:5', 'test-netdx.R:116:5', 'test-netdx.R:161:5', 'test-netdx.R:189:5', 'test-netdx.R:216:5', 'test-netdx.R:246:5', 'test-netdx.R:263:5', 'test-netdx.R:276:5', 'test-netdx.R:290:5', 'test-netdx.R:314:5', 'test-netdx.R:6:5', 'test-netdx.R:75:5', 'test-netdx.R:100:5', 'test-netdx.R:116:5', 'test-netdx.R:161:5', 'test-netdx.R:189:5', 'test-netdx.R:216:5', 'test-netdx.R:246:5', 'test-netdx.R:263:5', 'test-netdx.R:276:5', 'test-netdx.R:290:5', 'test-netdx.R:314:5', 'test-netdx.R:365:3', 'test-netdx.R:388:3', 'test-netrestart.R:4:3', 'test-netrestart.R:36:3', 'test-netsim-parallel.R:4:3', 'test-netsim-parallel.R:23:3', 'test-netsim-parallel.R:42:3', 'test-netsim-parallel.R:60:3', 'test-networkLite.R:4:3', 'test-stergm.R:5:3', 'test-transmat-dendo.R:69:3', 'test-utils.R:93:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-get.R:90:3'): get_sims extracts simulations ──────────────────── Error in `xtfrm.data.frame(structure(list(sim1 = 1.66666666666667, sim2 = 3.33333333333333, sim3 = 1.66666666666667), row.names = 10L, class = "data.frame"))`: cannot xtfrm data frames Backtrace: ▆ 1. ├─testthat::expect_is(...) at test-get.R:90:3 2. │ └─testthat::quasi_label(enquo(object), label) 3. │ └─rlang::eval_bare(expr, quo_get_env(quo)) 4. └─EpiModel::get_sims(mod, sims = "mean", var = "i.num") 5. ├─base::xtfrm(`<df[,3]>`) 6. └─base::xtfrm.data.frame(`<df[,3]>`) [ FAIL 1 | WARN 2 | SKIP 113 | PASS 2147 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-clang

Version: 2.5.0
Check: tests
Result: ERROR Running ‘test-all.R’ [238s/311s] Running the tests in ‘tests/test-all.R’ failed. Complete output: > library(testthat) > test_check("EpiModel") Loading required package: EpiModel Loading required package: deSolve Loading required package: networkDynamic Loading required package: network 'network' 1.19.0 (2024-12-08), part of the Statnet Project * 'news(package="network")' for changes since last version * 'citation("network")' for citation information * 'https://statnet.org' for help, support, and other information 'networkDynamic' 0.11.5 (2024-11-21), part of the Statnet Project * 'news(package="networkDynamic")' for changes since last version * 'citation("networkDynamic")' for citation information * 'https://statnet.org' for help, support, and other information Loading required package: tergm Loading required package: ergm 'ergm' 4.11.0 (2025-12-22), part of the Statnet Project * 'news(package="ergm")' for changes since last version * 'citation("ergm")' for citation information * 'https://statnet.org' for help, support, and other information 'ergm' 4 is a major update that introduces some backwards-incompatible changes. Please type 'news(package="ergm")' for a list of major changes. 'tergm' 4.2.2 (2025-06-15), part of the Statnet Project * 'news(package="tergm")' for changes since last version * 'citation("tergm")' for citation information * 'https://statnet.org' for help, support, and other information Attaching package: 'tergm' The following object is masked from 'package:ergm': snctrl Loading required package: statnet.common Attaching package: 'statnet.common' The following object is masked from 'package:ergm': snctrl The following objects are masked from 'package:base': attr, order, replace Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Static Simulations: 10 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 48.2 -3.6 0.763 -2.359 NA offset(deg6+) NA 0.0 NA NaN NA NA nodematch.sex 0 0.0 NaN NaN NaN NA nodematch.race 20 17.1 -14.5 0.912 -3.179 NA deg6+ 0 0.0 NaN NaN NaN NA offset(nodematch.sex) NA 0.0 NA NaN NA NA degree5 0 0.0 NaN NaN NaN NA SD(Statistic) edges 6.125 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 2.885 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Network Diagnostics ----------------------- - Simulating 10 networks |**********| - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Dynamic Simulations: 10 Time Steps per Sim: 5 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 48.62 -2.76 0.627 -2.203 3.775 offset(deg6+) NA 0.00 NA NaN NA 0.000 nodematch.sex 0 0.00 NaN NaN NaN 0.000 nodematch.race 20 20.38 1.90 0.376 1.012 2.260 deg6+ 0 0.00 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.00 NA NaN NA 0.000 degree5 0 0.00 NaN NaN NaN 0.000 SD(Statistic) edges 4.430 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 2.656 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.446 -5.543 0.173 -3.199 1.309 1.331 Dissolution Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.108 8.301 0.004 1.922 0.014 0.045 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 2 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.5 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 sim2 Transmissions: sim1 sim2 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 47.6 -4.8 1.408 -1.705 1.131 offset(deg6+) NA 0.0 NA NaN NA 0.000 nodematch.sex 0 0.0 NaN NaN NaN 0.000 nodematch.race 20 20.8 4.0 1.405 0.569 5.374 deg6+ 0 0.0 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.0 NA NaN NA 0.000 degree5 0 0.0 NaN NaN NaN 0.000 SD(Statistic) edges 4.452 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 4.442 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.1 0.995 0.429 0.232 1.433 1.358 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.11 10.355 0.011 0.908 0.013 0.036 Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Static Simulations: 10 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 54.5 9.0 1.579 2.849 NA offset(deg6+) NA 0.0 NA NaN NA NA nodematch.sex 0 0.0 NaN NaN NaN NA nodematch.race 20 22.3 11.5 1.012 2.274 NA deg6+ 0 0.0 NaN NaN NaN NA offset(nodematch.sex) NA 0.0 NA NaN NA NA degree5 0 0.0 NaN NaN NaN NA SD(Statistic) edges 4.994 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 3.199 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Network Diagnostics ----------------------- - Simulating 10 networks |**********| - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Dynamic Simulations: 10 Time Steps per Sim: 5 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 51.04 2.08 0.906 1.148 6.342 offset(deg6+) NA 0.00 NA NaN NA 0.000 nodematch.sex 0 0.00 NaN NaN NaN 0.000 nodematch.race 20 20.82 4.10 0.594 1.380 4.039 deg6+ 0 0.00 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.00 NA NaN NA 0.000 degree5 0 0.00 NaN NaN NaN 0.000 SD(Statistic) edges 6.408 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 4.202 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.887 -1.128 0.168 -0.671 1.413 1.422 Dissolution Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.1 -0.264 0.005 -0.055 0.018 0.038 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 2 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.5 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 sim2 Transmissions: sim1 sim2 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 49.7 -0.6 2.422 -0.124 9.475 offset(deg6+) NA 0.0 NA NaN NA 0.000 nodematch.sex 0 0.0 NaN NaN NaN 0.000 nodematch.race 20 21.3 6.5 1.055 1.233 3.536 deg6+ 0 0.0 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.0 NA NaN NA 0.000 degree5 0 0.0 NaN NaN NaN 0.000 SD(Statistic) edges 7.660 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 3.335 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.569 -4.309 0.312 -1.379 1.272 0.988 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.092 -8.029 0.018 -0.436 0.007 0.058 Saving _problems/test-get-90.R Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = FALSE tergmLite = FALSE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 10 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 16 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0 NA NaN NA 0 0 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.05 -9.502 0.257 -3.699 0.952 0.995 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.087 -13.122 0.015 -0.862 0.031 0.059 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0 NA NaN NA 0 0 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.05 -9.502 0.257 -3.699 0.952 0.995 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.087 -13.122 0.015 -0.862 0.031 0.059 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 22.600 -9.600 1.166 -2.058 0.872 nodematch.race 10 9.933 -0.667 0.458 -0.145 0.833 SD(Statistic) edges 4.517 nodematch.race 2.492 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.017 1.678 0.008 2.119 0.01 0.031 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.98 -1.968 0.01 -1.903 0.009 0.04 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) mean.age NA 3.664 NA 0.332 NA 0.197 1.284 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 18.73 -6.352 0.989 -1.285 4.438 3.83 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.058 15.02 0.009 0.823 0.019 0.035 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 15.933 NA 1.021 NA 1.102 3.955 degree1 NA 20.133 NA 0.524 NA 1.858 2.031 degree2 NA 9.600 NA 0.522 NA 1.058 3.019 degree3 NA 3.667 NA 0.412 NA 1.677 2.257 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.013 1.333 0.006 2.167 0.012 0.03 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.989 -1.111 0.005 -2.279 0.011 0.024 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.733 -1.067 0.686 -0.389 5.515 nodematch.race 10 11.000 10.000 0.717 1.394 3.175 SD(Statistic) edges 4.728 nodematch.race 2.777 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 17.169 -14.153 0.543 -5.212 1.761 2.051 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.068 36.365 0.01 1.773 0.029 0.051 Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 27 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 24 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0.212 NA 0.117 NA 0.292 0.415 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 11.26 12.598 0.818 1.54 2.155 2.324 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.091 -9.385 0.01 -0.95 0.013 0.05 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0.212 NA 0.117 NA 0.292 0.415 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 11.26 12.598 0.818 1.54 2.155 2.324 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.091 -9.385 0.01 -0.95 0.013 0.05 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 23.788 -4.848 0.823 -1.473 0.729 nodematch.race 10 10.091 0.909 0.203 0.449 0.241 SD(Statistic) edges 4.729 nodematch.race 2.720 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.017 1.676 0.005 3.657 0.002 0.026 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.98 -1.965 0.006 -3.374 0.004 0.033 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) mean.age NA 5.928 NA 1.112 NA 0.377 2.429 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.202 -3.989 0.769 -1.038 4.52 3.863 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.048 -4.638 0.005 -0.488 0.008 0.036 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 17.364 NA 0.806 NA 1.429 5.147 degree1 NA 19.273 NA 0.372 NA 0.744 3.564 degree2 NA 9.424 NA 0.476 NA 1.392 3.553 degree3 NA 3.182 NA 0.158 NA 0.958 2.038 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.018 1.751 0.004 4.705 0.013 0.032 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.984 -1.645 0.004 -3.68 0.014 0.032 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.061 -3.758 1.007 -0.933 4.504 nodematch.race 10 10.212 2.121 0.600 0.354 3.358 SD(Statistic) edges 4.062 nodematch.race 2.997 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 17.199 -14.003 0.285 -9.816 1.804 1.787 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.056 11.662 0.007 0.828 0.015 0.048 Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = FALSE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 10 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 22 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.467 NA 0.235 NA 0.643 nodefactor.deg.4.1 NA 18.267 NA 1.062 NA 2.403 SD(Statistic) triangle 0.743 nodefactor.deg.4.1 4.114 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.091 -9.092 0.343 -2.652 1.33 1.328 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.08 -20.093 0.016 -1.241 0.026 0.063 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.467 NA 0.235 NA 0.643 nodefactor.deg.4.1 NA 18.267 NA 1.062 NA 2.403 SD(Statistic) triangle 0.743 nodefactor.deg.4.1 4.114 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.091 -9.092 0.343 -2.652 1.33 1.328 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.08 -20.093 0.016 -1.241 0.026 0.063 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.400 -2.400 1.290 -0.465 3.904 nodematch.race 10 9.533 -4.667 0.583 -0.800 1.701 SD(Statistic) edges 4.997 nodematch.race 2.875 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.027 2.725 0.011 2.56 0.012 0.041 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.974 -2.574 0.009 -2.736 0.009 0.036 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.641 NA 0.318 NA 0.105 nodefactor.deg.2.2 NA 9.133 NA 0.614 NA 0.833 SD(Statistic) mean.age 1.233 nodefactor.deg.2.2 3.067 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 20.445 2.223 0.705 0.631 2.968 2.729 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.047 -5.953 0.011 -0.265 0.02 0.044 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 17.733 NA 0.881 NA 2.053 3.411 degree1 NA 19.400 NA 1.032 NA 2.117 3.996 degree2 NA 9.200 NA 0.863 NA 0.721 3.342 degree3 NA 2.667 NA 0.245 NA 1.026 1.799 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.034 3.421 0.009 3.949 0.018 0.034 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.967 -3.259 0.008 -3.936 0.016 0.032 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 26.667 6.667 0.308 5.420 2.901 nodematch.race 10 11.000 10.000 0.414 2.415 1.587 nodefactor.deg.5.1 NA 15.400 NA 0.820 NA 3.200 SD(Statistic) edges 2.582 nodematch.race 1.604 nodefactor.deg.5.1 3.203 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 23.082 15.41 1.189 2.593 5.083 4.604 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.061 22.68 0.008 1.497 0.004 0.048 Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 26 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 26 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 27 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 29 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 31 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 31 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.212 NA 0.148 NA 0.292 nodefactor.deg.4.1 NA 18.758 NA 0.822 NA 1.837 SD(Statistic) triangle 0.545 nodefactor.deg.4.1 4.724 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 11.184 11.845 0.352 3.37 1.368 1.484 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.091 -9.249 0.011 -0.84 0.013 0.063 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.212 NA 0.148 NA 0.292 nodefactor.deg.4.1 NA 18.758 NA 0.822 NA 1.837 SD(Statistic) triangle 0.545 nodefactor.deg.4.1 4.724 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 11.184 11.845 0.352 3.37 1.368 1.484 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.091 -9.249 0.011 -0.84 0.013 0.063 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.485 1.939 1.237 0.392 2.728 nodematch.race 10 9.788 -2.121 0.436 -0.487 1.211 SD(Statistic) edges 5.718 nodematch.race 3.170 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.022 2.183 0.004 5.522 0.009 0.033 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.978 -2.196 0.003 -7.238 0.011 0.033 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.839 NA 1.088 NA 0.198 nodefactor.deg.2.2 NA 9.758 NA 0.642 NA 2.767 SD(Statistic) mean.age 2.379 nodefactor.deg.2.2 4.677 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 16.992 -15.038 0.619 -4.855 2.288 2.478 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.053 6.686 0.007 0.449 0.015 0.043 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.515 NA 0.623 NA 1.959 3.581 degree1 NA 18.636 NA 0.604 NA 1.106 3.471 degree2 NA 9.485 NA 0.457 NA 0.892 3.650 degree3 NA 2.424 NA 0.295 NA 0.430 1.696 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.024 2.441 0.004 6.904 0.007 0.029 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.974 -2.613 0.006 -4.387 0.008 0.034 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.303 1.212 0.787 0.385 3.046 nodematch.race 10 10.576 5.758 0.437 1.316 1.325 nodefactor.deg.5.1 NA 15.424 NA 0.598 NA 1.821 SD(Statistic) edges 3.405 nodematch.race 1.821 nodefactor.deg.5.1 2.463 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 20.784 3.922 0.71 1.105 2.914 2.877 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.056 11.873 0.007 0.811 0.011 0.05 Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = FALSE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 10 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 11 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 13 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 12 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 12 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 9 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 11 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 11 Population Size: 53 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.000 NA NaN NA 0.000 nodefactor.deg.4.1 NA 15.533 NA 0.612 NA 3.443 SD(Statistic) triangle 0.000 nodefactor.deg.4.1 4.438 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.762 -2.38 0.432 -0.551 1.353 1.673 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.124 24.231 0.02 1.222 0.026 0.077 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.000 NA NaN NA 0.000 nodefactor.deg.4.1 NA 15.533 NA 0.612 NA 3.443 SD(Statistic) triangle 0.000 nodefactor.deg.4.1 4.438 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.762 -2.38 0.432 -0.551 1.353 1.673 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.124 24.231 0.02 1.222 0.026 0.077 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.333 -2.667 1.027 -0.649 1.026 nodematch.race 10 10.333 3.333 0.591 0.564 1.102 SD(Statistic) edges 3.976 nodematch.race 2.289 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.016 1.624 0.011 1.502 0.016 0.034 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.982 -1.794 0.011 -1.571 0.019 0.036 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.426 NA 0.253 NA 0.204 nodefactor.deg.2.2 NA 8.467 NA 0.764 NA 2.802 SD(Statistic) mean.age 0.978 nodefactor.deg.2.2 3.980 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.13 -4.351 1.198 -0.726 4.612 4.639 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.139 178.163 0.025 3.562 0.046 0.097 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 20.133 NA 0.744 NA 0.643 5.139 degree1 NA 17.533 NA 0.975 NA 0.611 3.777 degree2 NA 7.933 NA 1.002 NA 0.757 3.882 degree3 NA 2.733 NA 0.299 NA 0.416 1.792 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.018 1.795 0.004 5.109 0.004 0.024 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.978 -2.194 0.008 -2.719 0.005 0.031 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 18.867 -24.533 0.542 -11.312 0.808 nodematch.race 10 7.333 -26.667 1.080 -2.469 3.870 nodefactor.deg.5.1 NA 19.133 NA 0.386 NA 0.503 SD(Statistic) edges 2.100 nodematch.race 3.416 nodefactor.deg.5.1 2.031 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.974 -0.129 1.068 -0.024 4.412 4.137 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.105 109.715 0.019 2.826 0.017 0.075 Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 15 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 18 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 19 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 19 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 20 Population Size: 46 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 14 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 15 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 17 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 17 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 16 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 17 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 12 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 12 Population Size: 55 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 14 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 16 Population Size: 56 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 16 Population Size: 55 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 16 Population Size: 52 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.121 NA 0.197 NA 0.210 nodefactor.deg.4.1 NA 14.939 NA 0.836 NA 3.443 SD(Statistic) triangle 0.331 nodefactor.deg.4.1 4.802 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.084 -9.157 0.344 -2.665 1.088 1.946 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.148 47.603 0.008 6.128 0.009 0.101 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.121 NA 0.197 NA 0.210 nodefactor.deg.4.1 NA 14.939 NA 0.836 NA 3.443 SD(Statistic) triangle 0.331 nodefactor.deg.4.1 4.802 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.084 -9.157 0.344 -2.665 1.088 1.946 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.148 47.603 0.008 6.128 0.009 0.101 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 23.697 -5.212 0.808 -1.613 1.589 nodematch.race 10 9.727 -2.727 0.489 -0.558 1.139 SD(Statistic) edges 4.640 nodematch.race 2.809 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.015 1.462 0.006 2.598 0.006 0.028 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.985 -1.453 0.006 -2.617 0.008 0.028 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.282 NA 0.863 NA 0.224 nodefactor.deg.2.2 NA 7.121 NA 0.750 NA 0.548 SD(Statistic) mean.age 2.030 nodefactor.deg.2.2 3.756 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 16.993 -15.034 0.749 -4.016 0.992 2.186 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.123 145.051 0.015 4.788 0.01 0.087 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 19.152 NA 0.691 NA 2.003 5.274 degree1 NA 18.576 NA 0.476 NA 1.211 3.825 degree2 NA 8.485 NA 0.355 NA 0.955 3.675 degree3 NA 3.030 NA 0.251 NA 0.845 1.845 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.027 2.712 0.004 6.493 0.005 0.032 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.972 -2.84 0.004 -7.88 0.005 0.032 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 17.848 -28.606 0.538 -13.297 1.747 nodematch.race 10 6.455 -35.455 0.574 -6.175 3.087 nodefactor.deg.5.1 NA 17.848 NA 0.583 NA 1.211 SD(Statistic) edges 2.647 nodematch.race 2.980 nodefactor.deg.5.1 2.874 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 15.916 -20.418 0.776 -5.259 1.173 3.131 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.115 129.18 0.01 6.69 0.024 0.076 Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = TRUE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 15 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 15 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 15 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 18 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.000 NA NaN NA 0.0 nodefactor.deg.4.1 NA 17.867 NA 1.496 NA 3.7 SD(Statistic) triangle 0.000 nodefactor.deg.4.1 5.792 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.000 NA NaN NA 0.0 nodefactor.deg.4.1 NA 17.867 NA 1.496 NA 3.7 SD(Statistic) triangle 0.000 nodefactor.deg.4.1 5.792 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 27.133 8.533 0.689 3.094 2.894 nodematch.race 10 11.467 14.667 0.872 1.682 1.102 SD(Statistic) edges 4.172 nodematch.race 3.378 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.693 NA 0.339 NA 0.112 nodefactor.deg.2.2 NA 9.867 NA 0.374 NA 2.274 SD(Statistic) mean.age 1.312 nodefactor.deg.2.2 3.091 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 20.600 NA 0.603 NA 1.311 4.611 degree1 NA 17.933 NA 0.549 NA 0.416 3.634 degree2 NA 7.933 NA 0.714 NA 0.833 2.764 degree3 NA 2.800 NA 0.449 NA 0.600 1.740 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 29.400 17.600 1.119 3.932 7.034 nodematch.race 10 13.467 34.667 0.331 10.472 0.611 nodefactor.deg.5.1 NA 21.800 NA 0.677 NA 4.133 SD(Statistic) edges 6.334 nodematch.race 1.246 nodefactor.deg.5.1 3.668 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 29 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 26 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 30 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 32 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 34 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.152 NA 0.086 NA 0.139 nodefactor.deg.4.1 NA 17.455 NA 1.027 NA 4.366 SD(Statistic) triangle 0.364 nodefactor.deg.4.1 5.901 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.152 NA 0.086 NA 0.139 nodefactor.deg.4.1 NA 17.455 NA 1.027 NA 4.366 SD(Statistic) triangle 0.364 nodefactor.deg.4.1 5.901 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 26.788 7.152 0.605 2.957 0.41 nodematch.race 10 10.333 3.333 0.570 0.585 0.41 SD(Statistic) edges 4.519 nodematch.race 3.276 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.706 NA 0.977 NA 0.492 nodefactor.deg.2.2 NA 9.242 NA 0.273 NA 2.680 SD(Statistic) mean.age 2.278 nodefactor.deg.2.2 4.198 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 19.182 NA 0.808 NA 0.328 4.640 degree1 NA 18.303 NA 0.374 NA 0.458 3.331 degree2 NA 8.636 NA 0.503 NA 0.808 2.892 degree3 NA 3.030 NA 0.303 NA 0.262 1.741 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 28.727 14.909 1.732 2.152 5.565 nodematch.race 10 13.030 30.303 0.646 4.692 1.538 nodefactor.deg.5.1 NA 21.455 NA 0.784 NA 2.461 SD(Statistic) edges 5.137 nodematch.race 1.828 nodefactor.deg.5.1 3.001 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = TRUE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 12 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 13 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 16 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 11 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 10 Population Size: 53 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 10 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 10 Population Size: 56 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 11 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 16 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 18 Population Size: 49 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.200 NA 0.251 NA 0.346 nodefactor.deg.4.1 NA 16.267 NA 0.832 NA 0.577 SD(Statistic) triangle 0.561 nodefactor.deg.4.1 4.166 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.200 NA 0.251 NA 0.346 nodefactor.deg.4.1 NA 16.267 NA 0.832 NA 0.577 SD(Statistic) triangle 0.561 nodefactor.deg.4.1 4.166 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 23.933 -4.267 0.726 -1.470 2.318 nodematch.race 10 9.267 -7.333 0.864 -0.848 0.987 SD(Statistic) edges 4.621 nodematch.race 3.348 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.579 NA 0.313 NA 0.185 nodefactor.deg.2.2 NA 8.533 NA 1.004 NA 2.603 SD(Statistic) mean.age 1.211 nodefactor.deg.2.2 3.889 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 20.600 NA 0.844 NA 1.970 3.269 degree1 NA 18.667 NA 0.430 NA 0.833 2.289 degree2 NA 8.733 NA 0.262 NA 2.023 2.658 degree3 NA 2.400 NA 0.375 NA 0.400 1.454 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 21.533 -13.867 1.929 -1.797 7.700 nodematch.race 10 9.933 -0.667 1.026 -0.065 3.408 nodefactor.deg.5.1 NA 19.733 NA 0.502 NA 2.723 SD(Statistic) edges 7.472 nodematch.race 3.973 nodefactor.deg.5.1 2.865 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 18 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 22 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 21 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 24 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 24 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 24 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 12 Population Size: 56 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 15 Population Size: 57 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 16 Population Size: 56 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 17 Population Size: 57 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 21 Population Size: 60 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 21 Population Size: 64 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 21 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 21 Population Size: 46 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 21 Population Size: 44 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 22 Population Size: 44 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 24 Population Size: 43 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 27 Population Size: 44 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.091 NA 0.116 NA 0.157 nodefactor.deg.4.1 NA 14.273 NA 0.596 NA 1.703 SD(Statistic) triangle 0.384 nodefactor.deg.4.1 4.739 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.091 NA 0.116 NA 0.157 nodefactor.deg.4.1 NA 14.273 NA 0.596 NA 1.703 SD(Statistic) triangle 0.384 nodefactor.deg.4.1 4.739 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.242 0.970 0.701 0.346 1.533 nodematch.race 10 10.212 2.121 0.249 0.853 1.514 SD(Statistic) edges 5.202 nodematch.race 3.160 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.588 NA 1.031 NA 0.448 nodefactor.deg.2.2 NA 7.485 NA 0.673 NA 1.241 SD(Statistic) mean.age 2.245 nodefactor.deg.2.2 3.429 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 19.424 NA 0.353 NA 1.560 3.700 degree1 NA 19.182 NA 0.356 NA 1.376 3.770 degree2 NA 8.818 NA 0.476 NA 0.636 2.732 degree3 NA 2.697 NA 0.233 NA 0.262 1.704 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 18.485 -26.061 2.535 -2.570 6.417 nodematch.race 10 8.727 -12.727 0.806 -1.578 2.993 nodefactor.deg.5.1 NA 19.000 NA 0.722 NA 3.364 SD(Statistic) edges 6.847 nodematch.race 3.511 nodefactor.deg.5.1 3.666 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.047619 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.071429 [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.000000 1.000000 1.000000 1.000000 1.038462 1.033333 1.000000 1.000000 [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.888889 2.846154 3.241379 4.103448 1.896552 2.720000 3.370370 4.107143 [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.909091 2.794118 3.586207 4.096774 1.933333 2.588235 2.947368 3.937500 Network Diagnostics ----------------------- - Simulating 100 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 100 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 100 networks Network Diagnostics ----------------------- - Simulating 2 networks | Network Diagnostics ----------------------- - Simulating 100 networks Network Diagnostics ----------------------- - Simulating 2 networks | Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks Network Diagnostics ----------------------- - Simulating 2 networks | Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics[ FAIL 1 | WARN 2 | SKIP 113 | PASS 2147 ] ══ Skipped tests (113) ═════════════════════════════════════════════════════════ • On CRAN (113): 'test-cumulative_edgelist.R:20:3', 'test-cumulative_edgelist.R:85:3', 'test-cumulative_edgelist.R:106:3', 'test-dcm-long.R:6:3', 'test-dcm-long.R:22:3', 'test-dcm-long.R:41:3', 'test-dcm-long.R:60:3', 'test-dcm-long.R:79:3', 'test-dcm-long.R:99:3', 'test-dcm-long.R:120:3', 'test-dcm-long.R:135:3', 'test-dcm-long.R:151:3', 'test-dcm-long.R:171:3', 'test-dcm-long.R:194:3', 'test-dcm-long.R:209:3', 'test-dcm-long.R:225:3', 'test-dcm-long.R:245:3', 'test-dcm-long.R:262:3', 'test-dcm-long.R:277:3', 'test-dcm-long.R:293:3', 'test-dcm-long.R:314:3', 'test-dcm-long.R:339:3', 'test-dcm-long.R:354:3', 'test-dcm-long.R:371:3', 'test-dcm-long.R:390:3', 'test-dcm-long.R:411:3', 'test-dcm-long.R:426:3', 'test-dcm-long.R:442:3', 'test-dcm-long.R:462:3', 'test-dcm-long.R:487:3', 'test-ergm.ego.R:6:3', 'test-icm-long.R:6:3', 'test-icm-long.R:30:3', 'test-icm-long.R:55:3', 'test-icm-long.R:79:3', 'test-icm-long.R:102:3', 'test-icm-long.R:127:3', 'test-icm-long.R:150:3', 'test-icm-long.R:174:3', 'test-icm-long.R:199:3', 'test-icm-long.R:229:3', 'test-icm-long.R:252:3', 'test-icm-long.R:275:3', 'test-icm-long.R:300:3', 'test-icm-long.R:324:3', 'test-icm-long.R:348:3', 'test-icm-long.R:372:3', 'test-icm-long.R:398:3', 'test-icm-long.R:427:3', 'test-icm-long.R:459:3', 'test-icm-long.R:483:3', 'test-icm-long.R:507:3', 'test-icm-long.R:530:3', 'test-icm-long.R:552:3', 'test-icm-long.R:575:3', 'test-icm-long.R:598:3', 'test-icm-long.R:622:3', 'test-icm-long.R:647:3', 'test-net-long.R:4:3', 'test-net-long.R:290:3', 'test-net-long.R:335:3', 'test-net-long.R:352:3', 'test-net-long.R:454:3', 'test-net-long.R:567:3', 'test-net-long.R:653:3', 'test-net-long.R:698:3', 'test-net-tergmLite.R:6:3', 'test-net-tergmLite.R:56:3', 'test-net-tergmLite.R:112:3', 'test-net-tergmLite.R:171:3', 'test-net-tergmLite.R:231:3', 'test-netattr.R:32:3', 'test-netattr.R:51:3', 'test-netattr.R:100:3', 'test-netattr.R:150:3', 'test-netattr.R:185:3', 'test-netattr.R:214:3', 'test-netdx.R:6:5', 'test-netdx.R:75:5', 'test-netdx.R:100:5', 'test-netdx.R:116:5', 'test-netdx.R:161:5', 'test-netdx.R:189:5', 'test-netdx.R:216:5', 'test-netdx.R:246:5', 'test-netdx.R:263:5', 'test-netdx.R:276:5', 'test-netdx.R:290:5', 'test-netdx.R:314:5', 'test-netdx.R:6:5', 'test-netdx.R:75:5', 'test-netdx.R:100:5', 'test-netdx.R:116:5', 'test-netdx.R:161:5', 'test-netdx.R:189:5', 'test-netdx.R:216:5', 'test-netdx.R:246:5', 'test-netdx.R:263:5', 'test-netdx.R:276:5', 'test-netdx.R:290:5', 'test-netdx.R:314:5', 'test-netdx.R:365:3', 'test-netdx.R:388:3', 'test-netrestart.R:4:3', 'test-netrestart.R:36:3', 'test-netsim-parallel.R:4:3', 'test-netsim-parallel.R:23:3', 'test-netsim-parallel.R:42:3', 'test-netsim-parallel.R:60:3', 'test-networkLite.R:4:3', 'test-stergm.R:5:3', 'test-transmat-dendo.R:69:3', 'test-utils.R:93:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-get.R:90:3'): get_sims extracts simulations ──────────────────── Error in `xtfrm.data.frame(structure(list(sim1 = 1.66666666666667, sim2 = 3.33333333333333, sim3 = 1.66666666666667), row.names = 10L, class = "data.frame"))`: cannot xtfrm data frames Backtrace: ▆ 1. ├─testthat::expect_is(...) at test-get.R:90:3 2. │ └─testthat::quasi_label(enquo(object), label) 3. │ └─rlang::eval_bare(expr, quo_get_env(quo)) 4. └─EpiModel::get_sims(mod, sims = "mean", var = "i.num") 5. ├─base::xtfrm(`<df[,3]>`) 6. └─base::xtfrm.data.frame(`<df[,3]>`) [ FAIL 1 | WARN 2 | SKIP 113 | PASS 2147 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 2.5.0
Check: examples
Result: ERROR Running examples in ‘EpiModel-Ex.R’ failed The error most likely occurred in: > ### Name: get_sims > ### Title: Extract Network Simulations > ### Aliases: get_sims > ### Keywords: extract > > ### ** Examples > > # Network model estimation > nw <- network_initialize(n = 100) > formation <- ~edges > target.stats <- 50 > coef.diss <- dissolution_coefs(dissolution = ~offset(edges), duration = 20) > est1 <- netest(nw, formation, target.stats, coef.diss, verbose = FALSE) Starting maximum pseudolikelihood estimation (MPLE): Obtaining the responsible dyads. Evaluating the predictor and response matrix. Maximizing the pseudolikelihood. Finished MPLE. > > # Epidemic model > param <- param.net(inf.prob = 0.3) > init <- init.net(i.num = 10) > control <- control.net(type = "SI", nsteps = 10, nsims = 3, verbose.int = 0) > mod1 <- netsim(est1, param, init, control) Starting Network Simulation... Sim = 1/3 Sim = 2/3 Sim = 3/3> > # Get sim 2 > s.g2 <- get_sims(mod1, sims = 2) > > # Get sims 2 and 3 and keep only a subset of variables > s.g2.small <- get_sims(mod1, sims = 2:3, var = c("i.num", "si.flow")) > > # Extract the mean simulation for the variable i.num > sim.mean <- get_sims(mod1, sims = "mean", var = "i.num") Error in xtfrm.data.frame(list(sim1 = 1.66666666666667, sim2 = 0.333333333333332, : cannot xtfrm data frames Calls: get_sims -> xtfrm -> xtfrm.data.frame Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 2.5.0
Check: tests
Result: ERROR Running ‘test-all.R’ [435s/438s] Running the tests in ‘tests/test-all.R’ failed. Complete output: > library(testthat) > test_check("EpiModel") Loading required package: EpiModel Loading required package: deSolve Loading required package: networkDynamic Loading required package: network 'network' 1.19.0 (2024-12-08), part of the Statnet Project * 'news(package="network")' for changes since last version * 'citation("network")' for citation information * 'https://statnet.org' for help, support, and other information 'networkDynamic' 0.11.5 (2024-11-21), part of the Statnet Project * 'news(package="networkDynamic")' for changes since last version * 'citation("networkDynamic")' for citation information * 'https://statnet.org' for help, support, and other information Loading required package: tergm Loading required package: ergm 'ergm' 4.11.0 (2025-12-22), part of the Statnet Project * 'news(package="ergm")' for changes since last version * 'citation("ergm")' for citation information * 'https://statnet.org' for help, support, and other information 'ergm' 4 is a major update that introduces some backwards-incompatible changes. Please type 'news(package="ergm")' for a list of major changes. 'tergm' 4.2.2 (2025-06-15), part of the Statnet Project * 'news(package="tergm")' for changes since last version * 'citation("tergm")' for citation information * 'https://statnet.org' for help, support, and other information Attaching package: 'tergm' The following object is masked from 'package:ergm': snctrl Loading required package: statnet.common Attaching package: 'statnet.common' The following object is masked from 'package:ergm': snctrl The following objects are masked from 'package:base': attr, order, replace Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Static Simulations: 10 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 48.2 -3.6 0.763 -2.359 NA offset(deg6+) NA 0.0 NA NaN NA NA nodematch.sex 0 0.0 NaN NaN NaN NA nodematch.race 20 17.1 -14.5 0.912 -3.179 NA deg6+ 0 0.0 NaN NaN NaN NA offset(nodematch.sex) NA 0.0 NA NaN NA NA degree5 0 0.0 NaN NaN NaN NA SD(Statistic) edges 6.125 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 2.885 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Network Diagnostics ----------------------- - Simulating 10 networks |**********| - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Dynamic Simulations: 10 Time Steps per Sim: 5 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 48.62 -2.76 0.627 -2.203 3.775 offset(deg6+) NA 0.00 NA NaN NA 0.000 nodematch.sex 0 0.00 NaN NaN NaN 0.000 nodematch.race 20 20.38 1.90 0.376 1.012 2.260 deg6+ 0 0.00 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.00 NA NaN NA 0.000 degree5 0 0.00 NaN NaN NaN 0.000 SD(Statistic) edges 4.430 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 2.656 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.446 -5.543 0.173 -3.199 1.309 1.331 Dissolution Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.108 8.301 0.004 1.922 0.014 0.045 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 2 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.5 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 sim2 Transmissions: sim1 sim2 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 47.6 -4.8 1.408 -1.705 1.131 offset(deg6+) NA 0.0 NA NaN NA 0.000 nodematch.sex 0 0.0 NaN NaN NaN 0.000 nodematch.race 20 20.8 4.0 1.405 0.569 5.374 deg6+ 0 0.0 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.0 NA NaN NA 0.000 degree5 0 0.0 NaN NaN NaN 0.000 SD(Statistic) edges 4.452 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 4.442 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.1 0.995 0.429 0.232 1.433 1.358 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.11 10.355 0.011 0.908 0.013 0.036 Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Static Simulations: 10 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 51.4 2.8 1.367 1.024 NA offset(deg6+) NA 0.0 NA NaN NA NA nodematch.sex 0 0.0 NaN NaN NaN NA nodematch.race 20 22.8 14.0 0.764 3.663 NA deg6+ 0 0.0 NaN NaN NaN NA offset(nodematch.sex) NA 0.0 NA NaN NA NA degree5 0 0.0 NaN NaN NaN NA SD(Statistic) edges 7.058 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 5.453 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Network Diagnostics ----------------------- - Simulating 10 networks |**********| - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Dynamic Simulations: 10 Time Steps per Sim: 5 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 48.56 -2.88 0.673 -2.139 4.335 offset(deg6+) NA 0.00 NA NaN NA 0.000 nodematch.sex 0 0.00 NaN NaN NaN 0.000 nodematch.race 20 19.58 -2.10 0.415 -1.013 2.171 deg6+ 0 0.00 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.00 NA NaN NA 0.000 degree5 0 0.00 NaN NaN NaN 0.000 SD(Statistic) edges 4.760 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 2.907 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.043 0.426 0.206 0.207 1.373 1.457 Dissolution Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.1 0.162 0.006 0.027 0.016 0.042 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 2 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.5 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 sim2 Transmissions: sim1 sim2 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 50.1 0.2 1.779 0.056 6.930 offset(deg6+) NA 0.0 NA NaN NA 0.000 nodematch.sex 0 0.0 NaN NaN NaN 0.000 nodematch.race 20 18.5 -7.5 0.860 -1.745 2.687 deg6+ 0 0.0 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.0 NA NaN NA 0.000 degree5 0 0.0 NaN NaN NaN 0.000 SD(Statistic) edges 5.626 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 2.718 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 8.777 -12.229 0.348 -3.517 1.418 1.1 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.099 -0.69 0.011 -0.06 0.012 0.036 Saving _problems/test-get-90.R Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = FALSE tergmLite = FALSE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 16 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0 NA NaN NA 0 0 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 8.981 -10.186 0.343 -2.974 1.246 1.327 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.1 -0.029 0.018 -0.002 0.007 0.068 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0 NA NaN NA 0 0 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 8.981 -10.186 0.343 -2.974 1.246 1.327 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.1 -0.029 0.018 -0.002 0.007 0.068 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.600 2.400 0.914 0.656 3.143 nodematch.race 10 9.667 -3.333 0.779 -0.428 2.053 SD(Statistic) edges 3.542 nodematch.race 3.016 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.02 2.044 0.007 2.762 0.008 0.029 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.982 -1.808 0.006 -2.841 0.009 0.025 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) mean.age NA 3.537 NA 0.298 NA 0.234 1.155 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.104 -4.482 1.533 -0.585 6.882 5.939 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.064 27.165 0.02 0.684 0.03 0.077 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 17.467 NA 0.887 NA 2.248 5.290 degree1 NA 19.333 NA 0.622 NA 0.231 2.410 degree2 NA 9.000 NA 0.709 NA 1.114 3.684 degree3 NA 3.400 NA 0.423 NA 0.529 1.639 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.022 2.245 0.005 4.837 0.012 0.027 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.977 -2.315 0.005 -4.522 0.009 0.028 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 23.200 -7.200 0.894 -2.014 3.811 nodematch.race 10 10.067 0.667 0.182 0.367 0.611 SD(Statistic) edges 3.364 nodematch.race 0.704 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 20.536 2.678 0.799 0.67 3.399 3.096 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.047 -6.658 0.008 -0.408 0.018 0.032 Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 26 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 30 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 31 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 33 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 26 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 28 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0.061 NA 0.073 NA 0.105 0.242 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.56 -4.401 0.436 -1.009 1.935 1.948 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.093 -6.741 0.006 -1.149 0.016 0.058 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0.061 NA 0.073 NA 0.105 0.242 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.56 -4.401 0.436 -1.009 1.935 1.948 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.093 -6.741 0.006 -1.149 0.016 0.058 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 26.121 4.485 0.674 1.664 1.500 nodematch.race 10 10.242 2.424 0.233 1.038 1.506 SD(Statistic) edges 3.871 nodematch.race 2.634 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.028 2.826 0.007 4.001 0.007 0.041 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.974 -2.552 0.006 -4.095 0.011 0.036 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) mean.age NA 5.525 NA 0.989 NA 0.479 2.193 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.89 -0.549 0.71 -0.155 2.904 3.215 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.06 19.929 0.007 1.457 0.01 0.062 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.121 NA 0.545 NA 1.129 4.554 degree1 NA 19.333 NA 0.541 NA 0.825 3.697 degree2 NA 8.879 NA 0.385 NA 0.052 2.826 degree3 NA 2.909 NA 0.213 NA 0.273 1.466 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.016 1.569 0.004 3.799 0.005 0.024 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.984 -1.557 0.004 -3.76 0.004 0.024 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 22.970 -8.121 0.656 -3.095 2.213 nodematch.race 10 10.091 0.909 0.349 0.260 1.273 SD(Statistic) edges 2.663 nodematch.race 1.422 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 17.764 -11.18 0.667 -3.35 3.422 3.121 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.051 2.394 0.006 0.204 0.017 0.043 Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = FALSE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 10 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 10 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 15 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 17 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.200 NA 0.185 NA 0.346 nodefactor.deg.4.1 NA 18.667 NA 0.925 NA 4.216 SD(Statistic) triangle 0.414 nodefactor.deg.4.1 5.972 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.172 1.718 0.601 0.286 2.631 2.329 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.12 19.843 0.014 1.41 0.026 0.055 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.200 NA 0.185 NA 0.346 nodefactor.deg.4.1 NA 18.667 NA 0.925 NA 4.216 SD(Statistic) triangle 0.414 nodefactor.deg.4.1 5.972 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.172 1.718 0.601 0.286 2.631 2.329 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.12 19.843 0.014 1.41 0.026 0.055 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.000 -4.000 1.401 -0.714 3.105 nodematch.race 10 8.933 -10.667 0.643 -1.658 0.945 SD(Statistic) edges 5.425 nodematch.race 2.492 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.015 1.526 0.005 2.97 0.008 0.02 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.983 -1.721 0.003 -5.222 0.009 0.022 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.758 NA 0.332 NA 0.149 nodefactor.deg.2.2 NA 9.067 NA 0.700 NA 2.157 SD(Statistic) mean.age 1.286 nodefactor.deg.2.2 3.863 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 21.46 7.302 1.079 1.354 4.843 4.178 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.053 6.221 0.006 0.511 0.019 0.039 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 17.867 NA 1.041 NA 1.701 4.033 degree1 NA 17.267 NA 0.375 NA 0.757 2.120 degree2 NA 10.867 NA 0.668 NA 0.808 2.588 degree3 NA 2.667 NA 0.549 NA 0.115 2.127 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.02 2.019 0.011 1.88 0.018 0.034 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.984 -1.631 0.009 -1.917 0.014 0.027 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 29.867 19.467 0.601 8.104 2.403 nodematch.race 10 14.533 45.333 0.616 7.357 2.759 nodefactor.deg.5.1 NA 18.467 NA 0.915 NA 3.946 SD(Statistic) edges 2.326 nodematch.race 2.386 nodefactor.deg.5.1 3.543 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.903 -0.483 0.896 -0.108 3.963 3.471 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.049 -1.993 0.01 -0.102 0.005 0.038 Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 15 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 30 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 32 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 36 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 26 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.121 NA 0.197 NA 0.210 nodefactor.deg.4.1 NA 18.667 NA 0.913 NA 2.911 SD(Statistic) triangle 0.331 nodefactor.deg.4.1 5.242 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.533 5.33 0.251 2.122 0.713 1.166 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.108 8.258 0.012 0.703 0.002 0.067 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.121 NA 0.197 NA 0.210 nodefactor.deg.4.1 NA 18.667 NA 0.913 NA 2.911 SD(Statistic) triangle 0.331 nodefactor.deg.4.1 5.242 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.533 5.33 0.251 2.122 0.713 1.166 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.108 8.258 0.012 0.703 0.002 0.067 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.061 -3.758 0.828 -1.135 0.845 nodematch.race 10 9.455 -5.455 0.356 -1.530 0.787 SD(Statistic) edges 4.756 nodematch.race 2.563 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.017 1.708 0.004 4.23 0.004 0.023 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.983 -1.709 0.003 -6.582 0.005 0.022 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.977 NA 1.065 NA 0.146 nodefactor.deg.2.2 NA 8.545 NA 0.653 NA 1.102 SD(Statistic) mean.age 2.348 nodefactor.deg.2.2 3.751 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 21.222 6.11 0.693 1.763 4.046 3.662 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.06 20.581 0.006 1.59 0.018 0.037 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.636 NA 0.684 NA 0.727 3.928 degree1 NA 18.061 NA 0.313 NA 0.210 2.371 degree2 NA 9.636 NA 0.502 NA 0.241 2.881 degree3 NA 2.606 NA 0.308 NA 0.367 1.767 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.015 1.494 0.006 2.663 0.014 0.026 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.986 -1.387 0.005 -2.815 0.013 0.023 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 29.303 17.212 0.467 9.223 1.186 nodematch.race 10 14.667 46.667 0.760 6.142 2.399 nodefactor.deg.5.1 NA 18.182 NA 0.746 NA 2.834 SD(Statistic) edges 1.862 nodematch.race 2.175 nodefactor.deg.5.1 3.036 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 20.353 1.767 1.188 0.297 3.592 3.567 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.053 6.122 0.004 0.698 0.008 0.035 Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = FALSE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 12 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 15 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 16 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 18 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 12 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 17 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 14 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 18 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.0 NA NaN NA 0.000 nodefactor.deg.4.1 NA 18.2 NA 1.192 NA 3.143 SD(Statistic) triangle 0.000 nodefactor.deg.4.1 4.617 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 8.385 -16.148 0.364 -4.434 1.298 1.41 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.156 56.328 0.019 2.929 0.03 0.074 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.0 NA NaN NA 0.000 nodefactor.deg.4.1 NA 18.2 NA 1.192 NA 3.143 SD(Statistic) triangle 0.000 nodefactor.deg.4.1 4.617 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 8.385 -16.148 0.364 -4.434 1.298 1.41 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.156 56.328 0.019 2.929 0.03 0.074 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.400 1.600 0.402 0.996 0.693 nodematch.race 10 10.067 0.667 0.502 0.133 1.332 SD(Statistic) edges 2.586 nodematch.race 1.944 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.025 2.452 0.007 3.699 0.009 0.026 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.976 -2.449 0.007 -3.756 0.006 0.025 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.491 NA 0.283 NA 0.041 nodefactor.deg.2.2 NA 8.400 NA 0.559 NA 0.200 SD(Statistic) mean.age 1.095 nodefactor.deg.2.2 2.165 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 14.337 -28.317 0.549 -10.31 2.181 2.127 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.109 117.019 0.013 4.642 0.013 0.064 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.667 NA 1.120 NA 2.663 4.337 degree1 NA 18.333 NA 0.766 NA 1.724 2.968 degree2 NA 8.333 NA 0.934 NA 2.301 3.619 degree3 NA 3.467 NA 0.327 NA 0.902 1.959 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.018 1.843 0.004 4.272 0.011 0.025 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.983 -1.729 0.004 -4.462 0.01 0.023 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 29.133 16.533 1.664 2.483 7.338 nodematch.race 10 11.600 16.000 0.349 4.583 0.917 nodefactor.deg.5.1 NA 19.133 NA 0.616 NA 2.301 SD(Statistic) edges 6.446 nodematch.race 1.352 nodefactor.deg.5.1 2.386 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.78 -1.1 0.368 -0.597 1.089 1.426 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.07 39.544 0.013 1.528 0.005 0.05 Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 17 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 19 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 22 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 24 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 18 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 20 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 23 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 24 Population Size: 55 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 27 Population Size: 57 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 28 Population Size: 58 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 19 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 20 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 26 Population Size: 53 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 27 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 30 Population Size: 53 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.030 NA 0.052 NA 0.052 nodefactor.deg.4.1 NA 16.879 NA 0.691 NA 1.554 SD(Statistic) triangle 0.174 nodefactor.deg.4.1 3.967 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.739 7.39 0.662 1.117 1.741 2.537 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.138 38.257 0.016 2.343 0.012 0.094 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.030 NA 0.052 NA 0.052 nodefactor.deg.4.1 NA 16.879 NA 0.691 NA 1.554 SD(Statistic) triangle 0.174 nodefactor.deg.4.1 3.967 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.739 7.39 0.662 1.117 1.741 2.537 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.138 38.257 0.016 2.343 0.012 0.094 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.788 3.152 0.285 2.761 0.619 nodematch.race 10 10.394 3.939 0.323 1.221 0.501 SD(Statistic) edges 2.619 nodematch.race 1.853 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.018 1.84 0.004 4.632 0.01 0.023 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.982 -1.843 0.004 -4.675 0.009 0.023 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.296 NA 0.893 NA 0.301 nodefactor.deg.2.2 NA 7.364 NA 0.490 NA 0.568 SD(Statistic) mean.age 1.948 nodefactor.deg.2.2 2.815 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 16.791 -16.045 1.067 -3.007 3.335 3.374 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.099 97.018 0.015 3.314 0.008 0.084 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.970 NA 0.619 NA 1.409 5.145 degree1 NA 19.000 NA 0.494 NA 0.877 2.839 degree2 NA 8.485 NA 0.334 NA 1.137 3.251 degree3 NA 3.273 NA 0.186 NA 0.328 1.737 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.024 2.387 0.004 5.958 0.011 0.031 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.978 -2.171 0.003 -7.32 0.01 0.026 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.273 1.091 2.743 0.099 5.511 nodematch.race 10 10.121 1.212 0.499 0.243 0.448 nodefactor.deg.5.1 NA 17.939 NA 0.726 NA 1.873 SD(Statistic) edges 6.404 nodematch.race 1.980 nodefactor.deg.5.1 2.968 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 18.702 -6.491 1.297 -1.001 3.603 4.779 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.086 72.575 0.008 4.763 0.016 0.054 Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = TRUE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 15 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 10 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 15 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.667 NA 0.285 NA 0.702 nodefactor.deg.4.1 NA 20.600 NA 0.763 NA 6.844 SD(Statistic) triangle 0.900 nodefactor.deg.4.1 7.278 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.667 NA 0.285 NA 0.702 nodefactor.deg.4.1 NA 20.600 NA 0.763 NA 6.844 SD(Statistic) triangle 0.900 nodefactor.deg.4.1 7.278 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 27.467 9.867 1.591 1.550 4.884 nodematch.race 10 10.400 4.000 0.458 0.873 1.709 SD(Statistic) edges 6.163 nodematch.race 2.530 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.715 NA 0.329 NA 0.094 nodefactor.deg.2.2 NA 11.733 NA 0.872 NA 2.157 SD(Statistic) mean.age 1.276 nodefactor.deg.2.2 4.743 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.533 NA 1.276 NA 2.318 4.941 degree1 NA 18.733 NA 0.587 NA 2.386 3.788 degree2 NA 9.000 NA 0.905 NA 0.346 3.505 degree3 NA 2.867 NA 0.729 NA 0.462 2.825 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 21.467 -14.133 0.818 -4.318 2.641 nodematch.race 10 9.200 -8.000 0.145 -5.527 0.000 nodefactor.deg.5.1 NA 19.467 NA 0.839 NA 3.711 SD(Statistic) edges 2.588 nodematch.race 0.561 nodefactor.deg.5.1 3.248 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 26 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 29 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 31 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 36 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 27 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 31 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.333 NA 0.174 NA 0.278 nodefactor.deg.4.1 NA 20.606 NA 1.022 NA 2.900 SD(Statistic) triangle 0.692 nodefactor.deg.4.1 6.169 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.333 NA 0.174 NA 0.278 nodefactor.deg.4.1 NA 20.606 NA 1.022 NA 2.900 SD(Statistic) triangle 0.692 nodefactor.deg.4.1 6.169 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 26.303 5.212 0.62 2.103 3.254 nodematch.race 10 10.455 4.545 0.53 0.858 0.923 SD(Statistic) edges 5.486 nodematch.race 3.042 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.905 NA 1.093 NA 0.314 nodefactor.deg.2.2 NA 11.333 NA 0.393 NA 0.972 SD(Statistic) mean.age 2.369 nodefactor.deg.2.2 4.539 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.364 NA 0.796 NA 0.777 4.575 degree1 NA 18.636 NA 0.322 NA 1.644 3.210 degree2 NA 9.152 NA 0.276 NA 1.014 3.447 degree3 NA 2.667 NA 0.226 NA 0.105 2.300 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 22.879 -8.485 0.663 -3.200 2.651 nodematch.race 10 8.818 -11.818 0.277 -4.267 0.630 nodefactor.deg.5.1 NA 18.152 NA 1.163 NA 4.777 SD(Statistic) edges 3.228 nodematch.race 1.261 nodefactor.deg.5.1 4.665 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = TRUE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 11 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 11 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 13 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 10 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 14 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 18 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 20 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 11 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 15 Population Size: 45 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 17 Population Size: 45 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 16 Population Size: 44 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.067 NA 0.115 NA 0.115 nodefactor.deg.4.1 NA 20.467 NA 1.004 NA 1.222 SD(Statistic) triangle 0.258 nodefactor.deg.4.1 3.889 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.067 NA 0.115 NA 0.115 nodefactor.deg.4.1 NA 20.467 NA 1.004 NA 1.222 SD(Statistic) triangle 0.258 nodefactor.deg.4.1 3.889 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 22.867 -8.533 1.245 -1.713 3.818 nodematch.race 10 9.000 -10.000 0.622 -1.608 1.400 SD(Statistic) edges 4.824 nodematch.race 3.505 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.677 NA 0.315 NA 0.032 nodefactor.deg.2.2 NA 11.467 NA 0.843 NA 2.759 SD(Statistic) mean.age 1.221 nodefactor.deg.2.2 5.592 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 17.533 NA 1.552 NA 2.101 6.010 degree1 NA 17.867 NA 0.723 NA 1.155 2.800 degree2 NA 9.133 NA 0.798 NA 0.808 3.091 degree3 NA 3.467 NA 0.257 NA 0.611 1.885 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 22.133 -11.467 1.014 -2.828 3.361 nodematch.race 10 10.133 1.333 0.661 0.202 1.701 nodefactor.deg.5.1 NA 15.533 NA 0.716 NA 2.386 SD(Statistic) edges 3.925 nodematch.race 2.560 nodefactor.deg.5.1 2.774 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 13 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 15 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 18 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 19 Population Size: 53 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 22 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 22 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 20 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 21 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 23 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 25 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 25 Population Size: 53 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 16 Population Size: 44 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 17 Population Size: 43 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 19 Population Size: 44 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 19 Population Size: 45 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 17 Population Size: 43 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 17 Population Size: 42 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.091 NA 0.088 NA 0.157 nodefactor.deg.4.1 NA 19.909 NA 0.885 NA 1.774 SD(Statistic) triangle 0.292 nodefactor.deg.4.1 5.083 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.091 NA 0.088 NA 0.157 nodefactor.deg.4.1 NA 19.909 NA 0.885 NA 1.774 SD(Statistic) triangle 0.292 nodefactor.deg.4.1 5.083 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.879 -0.485 0.694 -0.175 1.565 nodematch.race 10 9.091 -9.091 0.573 -1.587 0.472 SD(Statistic) edges 6.642 nodematch.race 3.292 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.405 NA 0.878 NA 0.322 nodefactor.deg.2.2 NA 9.697 NA 0.829 NA 1.994 SD(Statistic) mean.age 1.932 nodefactor.deg.2.2 4.760 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 17.848 NA 0.966 NA 0.794 5.552 degree1 NA 18.273 NA 0.363 NA 1.420 3.859 degree2 NA 8.848 NA 0.540 NA 0.735 3.104 degree3 NA 2.970 NA 0.207 NA 0.605 1.879 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 17.848 -28.606 2.088 -3.426 3.755 nodematch.race 10 7.242 -27.576 1.623 -1.699 1.617 nodefactor.deg.5.1 NA 14.424 NA 1.004 NA 1.415 SD(Statistic) edges 5.546 nodematch.race 3.336 nodefactor.deg.5.1 2.681 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.000000 1.050000 1.032258 1.000000 1.045455 1.000000 1.000000 1.000000 [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.040000 1.000000 1.064516 1.000000 1.000000 1.040000 1.000000 1.055556 [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.964286 2.827586 3.807692 4.560000 1.777778 2.517241 3.538462 4.181818 [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.875000 2.750000 3.636364 4.200000 1.909091 2.800000 3.473684 3.761905 Network Diagnostics ----------------------- - Simulating 100 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 100 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 100 networks Network Diagnostics ----------------------- - Simulating 2 networks | Network Diagnostics ----------------------- - Simulating 100 networks Network Diagnostics ----------------------- - Simulating 2 networks | Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks Network Diagnostics ----------------------- - Simulating 2 networks | Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics[ FAIL 1 | WARN 2 | SKIP 113 | PASS 2147 ] ══ Skipped tests (113) ═════════════════════════════════════════════════════════ • On CRAN (113): 'test-cumulative_edgelist.R:20:3', 'test-cumulative_edgelist.R:85:3', 'test-cumulative_edgelist.R:106:3', 'test-dcm-long.R:6:3', 'test-dcm-long.R:22:3', 'test-dcm-long.R:41:3', 'test-dcm-long.R:60:3', 'test-dcm-long.R:79:3', 'test-dcm-long.R:99:3', 'test-dcm-long.R:120:3', 'test-dcm-long.R:135:3', 'test-dcm-long.R:151:3', 'test-dcm-long.R:171:3', 'test-dcm-long.R:194:3', 'test-dcm-long.R:209:3', 'test-dcm-long.R:225:3', 'test-dcm-long.R:245:3', 'test-dcm-long.R:262:3', 'test-dcm-long.R:277:3', 'test-dcm-long.R:293:3', 'test-dcm-long.R:314:3', 'test-dcm-long.R:339:3', 'test-dcm-long.R:354:3', 'test-dcm-long.R:371:3', 'test-dcm-long.R:390:3', 'test-dcm-long.R:411:3', 'test-dcm-long.R:426:3', 'test-dcm-long.R:442:3', 'test-dcm-long.R:462:3', 'test-dcm-long.R:487:3', 'test-ergm.ego.R:6:3', 'test-icm-long.R:6:3', 'test-icm-long.R:30:3', 'test-icm-long.R:55:3', 'test-icm-long.R:79:3', 'test-icm-long.R:102:3', 'test-icm-long.R:127:3', 'test-icm-long.R:150:3', 'test-icm-long.R:174:3', 'test-icm-long.R:199:3', 'test-icm-long.R:229:3', 'test-icm-long.R:252:3', 'test-icm-long.R:275:3', 'test-icm-long.R:300:3', 'test-icm-long.R:324:3', 'test-icm-long.R:348:3', 'test-icm-long.R:372:3', 'test-icm-long.R:398:3', 'test-icm-long.R:427:3', 'test-icm-long.R:459:3', 'test-icm-long.R:483:3', 'test-icm-long.R:507:3', 'test-icm-long.R:530:3', 'test-icm-long.R:552:3', 'test-icm-long.R:575:3', 'test-icm-long.R:598:3', 'test-icm-long.R:622:3', 'test-icm-long.R:647:3', 'test-net-long.R:4:3', 'test-net-long.R:290:3', 'test-net-long.R:335:3', 'test-net-long.R:352:3', 'test-net-long.R:454:3', 'test-net-long.R:567:3', 'test-net-long.R:653:3', 'test-net-long.R:698:3', 'test-net-tergmLite.R:6:3', 'test-net-tergmLite.R:56:3', 'test-net-tergmLite.R:112:3', 'test-net-tergmLite.R:171:3', 'test-net-tergmLite.R:231:3', 'test-netattr.R:32:3', 'test-netattr.R:51:3', 'test-netattr.R:100:3', 'test-netattr.R:150:3', 'test-netattr.R:185:3', 'test-netattr.R:214:3', 'test-netdx.R:6:5', 'test-netdx.R:75:5', 'test-netdx.R:100:5', 'test-netdx.R:116:5', 'test-netdx.R:161:5', 'test-netdx.R:189:5', 'test-netdx.R:216:5', 'test-netdx.R:246:5', 'test-netdx.R:263:5', 'test-netdx.R:276:5', 'test-netdx.R:290:5', 'test-netdx.R:314:5', 'test-netdx.R:6:5', 'test-netdx.R:75:5', 'test-netdx.R:100:5', 'test-netdx.R:116:5', 'test-netdx.R:161:5', 'test-netdx.R:189:5', 'test-netdx.R:216:5', 'test-netdx.R:246:5', 'test-netdx.R:263:5', 'test-netdx.R:276:5', 'test-netdx.R:290:5', 'test-netdx.R:314:5', 'test-netdx.R:365:3', 'test-netdx.R:388:3', 'test-netrestart.R:4:3', 'test-netrestart.R:36:3', 'test-netsim-parallel.R:4:3', 'test-netsim-parallel.R:23:3', 'test-netsim-parallel.R:42:3', 'test-netsim-parallel.R:60:3', 'test-networkLite.R:4:3', 'test-stergm.R:5:3', 'test-transmat-dendo.R:69:3', 'test-utils.R:93:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-get.R:90:3'): get_sims extracts simulations ──────────────────── Error in `xtfrm.data.frame(structure(list(sim1 = 1.66666666666667, sim2 = 0.333333333333332, sim3 = 1.33333333333333), row.names = 10L, class = "data.frame"))`: cannot xtfrm data frames Backtrace: ▆ 1. ├─testthat::expect_is(...) at test-get.R:90:3 2. │ └─testthat::quasi_label(enquo(object), label) 3. │ └─rlang::eval_bare(expr, quo_get_env(quo)) 4. └─EpiModel::get_sims(mod, sims = "mean", var = "i.num") 5. ├─base::xtfrm(`<df[,3]>`) 6. └─base::xtfrm.data.frame(`<df[,3]>`) [ FAIL 1 | WARN 2 | SKIP 113 | PASS 2147 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 2.5.0
Check: tests
Result: ERROR Running ‘test-all.R’ [431s/441s] Running the tests in ‘tests/test-all.R’ failed. Complete output: > library(testthat) > test_check("EpiModel") Loading required package: EpiModel Loading required package: deSolve Loading required package: networkDynamic Loading required package: network 'network' 1.19.0 (2024-12-08), part of the Statnet Project * 'news(package="network")' for changes since last version * 'citation("network")' for citation information * 'https://statnet.org' for help, support, and other information 'networkDynamic' 0.11.5 (2024-11-21), part of the Statnet Project * 'news(package="networkDynamic")' for changes since last version * 'citation("networkDynamic")' for citation information * 'https://statnet.org' for help, support, and other information Loading required package: tergm Loading required package: ergm 'ergm' 4.11.0 (2025-12-22), part of the Statnet Project * 'news(package="ergm")' for changes since last version * 'citation("ergm")' for citation information * 'https://statnet.org' for help, support, and other information 'ergm' 4 is a major update that introduces some backwards-incompatible changes. Please type 'news(package="ergm")' for a list of major changes. 'tergm' 4.2.2 (2025-06-15), part of the Statnet Project * 'news(package="tergm")' for changes since last version * 'citation("tergm")' for citation information * 'https://statnet.org' for help, support, and other information Attaching package: 'tergm' The following object is masked from 'package:ergm': snctrl Loading required package: statnet.common Attaching package: 'statnet.common' The following object is masked from 'package:ergm': snctrl The following objects are masked from 'package:base': attr, order, replace Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Static Simulations: 10 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 48.2 -3.6 0.763 -2.359 NA offset(deg6+) NA 0.0 NA NaN NA NA nodematch.sex 0 0.0 NaN NaN NaN NA nodematch.race 20 17.1 -14.5 0.912 -3.179 NA deg6+ 0 0.0 NaN NaN NaN NA offset(nodematch.sex) NA 0.0 NA NaN NA NA degree5 0 0.0 NaN NaN NaN NA SD(Statistic) edges 6.125 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 2.885 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Network Diagnostics ----------------------- - Simulating 10 networks |**********| - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Dynamic Simulations: 10 Time Steps per Sim: 5 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 48.62 -2.76 0.627 -2.203 3.775 offset(deg6+) NA 0.00 NA NaN NA 0.000 nodematch.sex 0 0.00 NaN NaN NaN 0.000 nodematch.race 20 20.38 1.90 0.376 1.012 2.260 deg6+ 0 0.00 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.00 NA NaN NA 0.000 degree5 0 0.00 NaN NaN NaN 0.000 SD(Statistic) edges 4.430 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 2.656 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.446 -5.543 0.173 -3.199 1.309 1.331 Dissolution Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.108 8.301 0.004 1.922 0.014 0.045 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 2 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.5 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 sim2 Transmissions: sim1 sim2 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 47.6 -4.8 1.408 -1.705 1.131 offset(deg6+) NA 0.0 NA NaN NA 0.000 nodematch.sex 0 0.0 NaN NaN NaN 0.000 nodematch.race 20 20.8 4.0 1.405 0.569 5.374 deg6+ 0 0.0 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.0 NA NaN NA 0.000 degree5 0 0.0 NaN NaN NaN 0.000 SD(Statistic) edges 4.452 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 4.442 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.1 0.995 0.429 0.232 1.433 1.358 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.11 10.355 0.011 0.908 0.013 0.036 Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Static Simulations: 10 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 51.4 2.8 1.367 1.024 NA offset(deg6+) NA 0.0 NA NaN NA NA nodematch.sex 0 0.0 NaN NaN NaN NA nodematch.race 20 22.8 14.0 0.764 3.663 NA deg6+ 0 0.0 NaN NaN NaN NA offset(nodematch.sex) NA 0.0 NA NaN NA NA degree5 0 0.0 NaN NaN NaN NA SD(Statistic) edges 7.058 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 5.453 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Network Diagnostics ----------------------- - Simulating 10 networks |**********| - Calculating formation statisticsEpiModel Network Diagnostics ======================= Diagnostic Method: Dynamic Simulations: 10 Time Steps per Sim: 5 Formation Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 48.56 -2.88 0.673 -2.139 4.335 offset(deg6+) NA 0.00 NA NaN NA 0.000 nodematch.sex 0 0.00 NaN NaN NaN 0.000 nodematch.race 20 19.58 -2.10 0.415 -1.013 2.171 deg6+ 0 0.00 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.00 NA NaN NA 0.000 degree5 0 0.00 NaN NaN NaN 0.000 SD(Statistic) edges 4.760 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 2.907 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.043 0.426 0.206 0.207 1.373 1.457 Dissolution Diagnostics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.1 0.162 0.006 0.027 0.016 0.042 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 2 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.5 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 sim2 Transmissions: sim1 sim2 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 50 50.1 0.2 1.779 0.056 6.930 offset(deg6+) NA 0.0 NA NaN NA 0.000 nodematch.sex 0 0.0 NaN NaN NaN 0.000 nodematch.race 20 18.5 -7.5 0.860 -1.745 2.687 deg6+ 0 0.0 NaN NaN NaN 0.000 offset(nodematch.sex) NA 0.0 NA NaN NA 0.000 degree5 0 0.0 NaN NaN NaN 0.000 SD(Statistic) edges 5.626 offset(deg6+) 0.000 nodematch.sex 0.000 nodematch.race 2.718 deg6+ 0.000 offset(nodematch.sex) 0.000 degree5 0.000 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 8.777 -12.229 0.348 -3.517 1.418 1.1 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.099 -0.69 0.011 -0.06 0.012 0.036 Saving _problems/test-get-90.R Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = FALSE tergmLite = FALSE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 16 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0 NA NaN NA 0 0 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 8.981 -10.186 0.343 -2.974 1.246 1.327 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.1 -0.029 0.018 -0.002 0.007 0.068 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0 NA NaN NA 0 0 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 8.981 -10.186 0.343 -2.974 1.246 1.327 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.1 -0.029 0.018 -0.002 0.007 0.068 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.600 2.400 0.914 0.656 3.143 nodematch.race 10 9.667 -3.333 0.779 -0.428 2.053 SD(Statistic) edges 3.542 nodematch.race 3.016 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.02 2.044 0.007 2.762 0.008 0.029 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.982 -1.808 0.006 -2.841 0.009 0.025 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) mean.age NA 3.537 NA 0.298 NA 0.234 1.155 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.104 -4.482 1.533 -0.585 6.882 5.939 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.064 27.165 0.02 0.684 0.03 0.077 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 17.467 NA 0.887 NA 2.248 5.290 degree1 NA 19.333 NA 0.622 NA 0.231 2.410 degree2 NA 9.000 NA 0.709 NA 1.114 3.684 degree3 NA 3.400 NA 0.423 NA 0.529 1.639 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.022 2.245 0.005 4.837 0.012 0.027 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.977 -2.315 0.005 -4.522 0.009 0.028 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 23.200 -7.200 0.894 -2.014 3.811 nodematch.race 10 10.067 0.667 0.182 0.367 0.611 SD(Statistic) edges 3.364 nodematch.race 0.704 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 20.536 2.678 0.799 0.67 3.399 3.096 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.047 -6.658 0.008 -0.408 0.018 0.032 Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 26 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 30 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 31 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 33 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 26 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 28 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0.061 NA 0.073 NA 0.105 0.242 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.56 -4.401 0.436 -1.009 1.935 1.948 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.093 -6.741 0.006 -1.149 0.016 0.058 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) triangle NA 0.061 NA 0.073 NA 0.105 0.242 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 9.56 -4.401 0.436 -1.009 1.935 1.948 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.093 -6.741 0.006 -1.149 0.016 0.058 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 26.121 4.485 0.674 1.664 1.500 nodematch.race 10 10.242 2.424 0.233 1.038 1.506 SD(Statistic) edges 3.871 nodematch.race 2.634 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.028 2.826 0.007 4.001 0.007 0.041 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.974 -2.552 0.006 -4.095 0.011 0.036 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) mean.age NA 5.525 NA 0.989 NA 0.479 2.193 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.89 -0.549 0.71 -0.155 2.904 3.215 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.06 19.929 0.007 1.457 0.01 0.062 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.121 NA 0.545 NA 1.129 4.554 degree1 NA 19.333 NA 0.541 NA 0.825 3.697 degree2 NA 8.879 NA 0.385 NA 0.052 2.826 degree3 NA 2.909 NA 0.213 NA 0.273 1.466 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.016 1.569 0.004 3.799 0.005 0.024 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.984 -1.557 0.004 -3.76 0.004 0.024 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 22.970 -8.121 0.656 -3.095 2.213 nodematch.race 10 10.091 0.909 0.349 0.260 1.273 SD(Statistic) edges 2.663 nodematch.race 1.422 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 17.764 -11.18 0.667 -3.35 3.422 3.121 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.051 2.394 0.006 0.204 0.017 0.043 Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = FALSE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 10 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 11 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 10 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 15 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 17 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.200 NA 0.185 NA 0.346 nodefactor.deg.4.1 NA 18.667 NA 0.925 NA 4.216 SD(Statistic) triangle 0.414 nodefactor.deg.4.1 5.972 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.172 1.718 0.601 0.286 2.631 2.329 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.12 19.843 0.014 1.41 0.026 0.055 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.200 NA 0.185 NA 0.346 nodefactor.deg.4.1 NA 18.667 NA 0.925 NA 4.216 SD(Statistic) triangle 0.414 nodefactor.deg.4.1 5.972 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.172 1.718 0.601 0.286 2.631 2.329 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.12 19.843 0.014 1.41 0.026 0.055 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.000 -4.000 1.401 -0.714 3.105 nodematch.race 10 8.933 -10.667 0.643 -1.658 0.945 SD(Statistic) edges 5.425 nodematch.race 2.492 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.015 1.526 0.005 2.97 0.008 0.02 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.983 -1.721 0.003 -5.222 0.009 0.022 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.758 NA 0.332 NA 0.149 nodefactor.deg.2.2 NA 9.067 NA 0.700 NA 2.157 SD(Statistic) mean.age 1.286 nodefactor.deg.2.2 3.863 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 21.46 7.302 1.079 1.354 4.843 4.178 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.053 6.221 0.006 0.511 0.019 0.039 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 17.867 NA 1.041 NA 1.701 4.033 degree1 NA 17.267 NA 0.375 NA 0.757 2.120 degree2 NA 10.867 NA 0.668 NA 0.808 2.588 degree3 NA 2.667 NA 0.549 NA 0.115 2.127 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.02 2.019 0.011 1.88 0.018 0.034 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.984 -1.631 0.009 -1.917 0.014 0.027 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 29.867 19.467 0.601 8.104 2.403 nodematch.race 10 14.533 45.333 0.616 7.357 2.759 nodefactor.deg.5.1 NA 18.467 NA 0.915 NA 3.946 SD(Statistic) edges 2.326 nodematch.race 2.386 nodefactor.deg.5.1 3.543 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.903 -0.483 0.896 -0.108 3.963 3.471 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.049 -1.993 0.01 -0.102 0.005 0.038 Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 15 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 30 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 32 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 36 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 26 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.121 NA 0.197 NA 0.210 nodefactor.deg.4.1 NA 18.667 NA 0.913 NA 2.911 SD(Statistic) triangle 0.331 nodefactor.deg.4.1 5.242 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.533 5.33 0.251 2.122 0.713 1.166 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.108 8.258 0.012 0.703 0.002 0.067 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.121 NA 0.197 NA 0.210 nodefactor.deg.4.1 NA 18.667 NA 0.913 NA 2.911 SD(Statistic) triangle 0.331 nodefactor.deg.4.1 5.242 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.533 5.33 0.251 2.122 0.713 1.166 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.108 8.258 0.012 0.703 0.002 0.067 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.061 -3.758 0.828 -1.135 0.845 nodematch.race 10 9.455 -5.455 0.356 -1.530 0.787 SD(Statistic) edges 4.756 nodematch.race 2.563 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.017 1.708 0.004 4.23 0.004 0.023 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.983 -1.709 0.003 -6.582 0.005 0.022 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.977 NA 1.065 NA 0.146 nodefactor.deg.2.2 NA 8.545 NA 0.653 NA 1.102 SD(Statistic) mean.age 2.348 nodefactor.deg.2.2 3.751 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 21.222 6.11 0.693 1.763 4.046 3.662 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.06 20.581 0.006 1.59 0.018 0.037 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.636 NA 0.684 NA 0.727 3.928 degree1 NA 18.061 NA 0.313 NA 0.210 2.371 degree2 NA 9.636 NA 0.502 NA 0.241 2.881 degree3 NA 2.606 NA 0.308 NA 0.367 1.767 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.015 1.494 0.006 2.663 0.014 0.026 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.986 -1.387 0.005 -2.815 0.013 0.023 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 29.303 17.212 0.467 9.223 1.186 nodematch.race 10 14.667 46.667 0.760 6.142 2.399 nodefactor.deg.5.1 NA 18.182 NA 0.746 NA 2.834 SD(Statistic) edges 1.862 nodematch.race 2.175 nodefactor.deg.5.1 3.036 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 20.353 1.767 1.188 0.297 3.592 3.567 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.053 6.122 0.004 0.698 0.008 0.035 Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = FALSE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 12 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 15 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 16 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 18 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 12 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 17 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 14 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 18 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.0 NA NaN NA 0.000 nodefactor.deg.4.1 NA 18.2 NA 1.192 NA 3.143 SD(Statistic) triangle 0.000 nodefactor.deg.4.1 4.617 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 8.385 -16.148 0.364 -4.434 1.298 1.41 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.156 56.328 0.019 2.929 0.03 0.074 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.0 NA NaN NA 0.000 nodefactor.deg.4.1 NA 18.2 NA 1.192 NA 3.143 SD(Statistic) triangle 0.000 nodefactor.deg.4.1 4.617 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 8.385 -16.148 0.364 -4.434 1.298 1.41 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.156 56.328 0.019 2.929 0.03 0.074 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.400 1.600 0.402 0.996 0.693 nodematch.race 10 10.067 0.667 0.502 0.133 1.332 SD(Statistic) edges 2.586 nodematch.race 1.944 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.025 2.452 0.007 3.699 0.009 0.026 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.976 -2.449 0.007 -3.756 0.006 0.025 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.491 NA 0.283 NA 0.041 nodefactor.deg.2.2 NA 8.400 NA 0.559 NA 0.200 SD(Statistic) mean.age 1.095 nodefactor.deg.2.2 2.165 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 14.337 -28.317 0.549 -10.31 2.181 2.127 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.109 117.019 0.013 4.642 0.013 0.064 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.667 NA 1.120 NA 2.663 4.337 degree1 NA 18.333 NA 0.766 NA 1.724 2.968 degree2 NA 8.333 NA 0.934 NA 2.301 3.619 degree3 NA 3.467 NA 0.327 NA 0.902 1.959 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.018 1.843 0.004 4.272 0.011 0.025 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.983 -1.729 0.004 -4.462 0.01 0.023 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 29.133 16.533 1.664 2.483 7.338 nodematch.race 10 11.600 16.000 0.349 4.583 0.917 nodefactor.deg.5.1 NA 19.133 NA 0.616 NA 2.301 SD(Statistic) edges 6.446 nodematch.race 1.352 nodefactor.deg.5.1 2.386 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 19.78 -1.1 0.368 -0.597 1.089 1.426 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.07 39.544 0.013 1.528 0.005 0.05 Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 17 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 19 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 22 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 24 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 18 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 20 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 23 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 24 Population Size: 55 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 27 Population Size: 57 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 28 Population Size: 58 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 19 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 20 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 23 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 26 Population Size: 53 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 27 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 30 Population Size: 53 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.030 NA 0.052 NA 0.052 nodefactor.deg.4.1 NA 16.879 NA 0.691 NA 1.554 SD(Statistic) triangle 0.174 nodefactor.deg.4.1 3.967 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.739 7.39 0.662 1.117 1.741 2.537 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.138 38.257 0.016 2.343 0.012 0.094 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.030 NA 0.052 NA 0.052 nodefactor.deg.4.1 NA 16.879 NA 0.691 NA 1.554 SD(Statistic) triangle 0.174 nodefactor.deg.4.1 3.967 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 10 10.739 7.39 0.662 1.117 1.741 2.537 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.1 0.138 38.257 0.016 2.343 0.012 0.094 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.788 3.152 0.285 2.761 0.619 nodematch.race 10 10.394 3.939 0.323 1.221 0.501 SD(Statistic) edges 2.619 nodematch.race 1.853 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.018 1.84 0.004 4.632 0.01 0.023 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.982 -1.843 0.004 -4.675 0.009 0.023 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.296 NA 0.893 NA 0.301 nodefactor.deg.2.2 NA 7.364 NA 0.490 NA 0.568 SD(Statistic) mean.age 1.948 nodefactor.deg.2.2 2.815 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 16.791 -16.045 1.067 -3.007 3.335 3.374 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.099 97.018 0.015 3.314 0.008 0.084 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.970 NA 0.619 NA 1.409 5.145 degree1 NA 19.000 NA 0.494 NA 0.877 2.839 degree2 NA 8.485 NA 0.334 NA 1.137 3.251 degree3 NA 3.273 NA 0.186 NA 0.328 1.737 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 1.024 2.387 0.004 5.958 0.011 0.031 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 1 0.978 -2.171 0.003 -7.32 0.01 0.026 EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 25.273 1.091 2.743 0.099 5.511 nodematch.race 10 10.121 1.212 0.499 0.243 0.448 nodefactor.deg.5.1 NA 17.939 NA 0.726 NA 1.873 SD(Statistic) edges 6.404 nodematch.race 1.980 nodefactor.deg.5.1 2.968 Duration Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 20 18.702 -6.491 1.297 -1.001 3.603 4.779 Dissolution Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) edges 0.05 0.086 72.575 0.008 4.763 0.016 0.054 Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = TRUE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 14 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 16 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 18 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 15 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 20 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 10 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 13 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 15 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.667 NA 0.285 NA 0.702 nodefactor.deg.4.1 NA 20.600 NA 0.763 NA 6.844 SD(Statistic) triangle 0.900 nodefactor.deg.4.1 7.278 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.667 NA 0.285 NA 0.702 nodefactor.deg.4.1 NA 20.600 NA 0.763 NA 6.844 SD(Statistic) triangle 0.900 nodefactor.deg.4.1 7.278 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 27.467 9.867 1.591 1.550 4.884 nodematch.race 10 10.400 4.000 0.458 0.873 1.709 SD(Statistic) edges 6.163 nodematch.race 2.530 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.715 NA 0.329 NA 0.094 nodefactor.deg.2.2 NA 11.733 NA 0.872 NA 2.157 SD(Statistic) mean.age 1.276 nodefactor.deg.2.2 4.743 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.533 NA 1.276 NA 2.318 4.941 degree1 NA 18.733 NA 0.587 NA 2.386 3.788 degree2 NA 9.000 NA 0.905 NA 0.346 3.505 degree3 NA 2.867 NA 0.729 NA 0.462 2.825 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 21.467 -14.133 0.818 -4.318 2.641 nodematch.race 10 9.200 -8.000 0.145 -5.527 0.000 nodefactor.deg.5.1 NA 19.467 NA 0.839 NA 3.711 SD(Statistic) edges 2.588 nodematch.race 0.561 nodefactor.deg.5.1 3.248 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 24 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 26 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 25 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 28 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 29 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 31 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 36 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 17 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 19 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 22 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 27 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 31 Population Size: 50 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.333 NA 0.174 NA 0.278 nodefactor.deg.4.1 NA 20.606 NA 1.022 NA 2.900 SD(Statistic) triangle 0.692 nodefactor.deg.4.1 6.169 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.333 NA 0.174 NA 0.278 nodefactor.deg.4.1 NA 20.606 NA 1.022 NA 2.900 SD(Statistic) triangle 0.692 nodefactor.deg.4.1 6.169 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 26.303 5.212 0.62 2.103 3.254 nodematch.race 10 10.455 4.545 0.53 0.858 0.923 SD(Statistic) edges 5.486 nodematch.race 3.042 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.905 NA 1.093 NA 0.314 nodefactor.deg.2.2 NA 11.333 NA 0.393 NA 0.972 SD(Statistic) mean.age 2.369 nodefactor.deg.2.2 4.539 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 18.364 NA 0.796 NA 0.777 4.575 degree1 NA 18.636 NA 0.322 NA 1.644 3.210 degree2 NA 9.152 NA 0.276 NA 1.014 3.447 degree3 NA 2.667 NA 0.226 NA 0.105 2.300 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 22.879 -8.485 0.663 -3.200 2.651 nodematch.race 10 8.818 -11.818 0.277 -4.267 0.630 nodefactor.deg.5.1 NA 18.152 NA 1.163 NA 4.777 SD(Statistic) edges 3.228 nodematch.race 1.261 nodefactor.deg.5.1 4.665 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) Network Model Control Settings =============================== type = SI nsteps = 5 start = 1 nsims = 3 ncores = 1 resimulate.network = TRUE tergmLite = TRUE cumulative.edgelist = FALSE truncate.el.cuml = 0 module.order = save.nwstats = TRUE nwstats.formula = <list> save.transmat = TRUE save.network = TRUE save.run = TRUE save.cumulative.edgelist = FALSE save.other = verbose = TRUE verbose.int = 1 skip.check = FALSE raw.output = FALSE tergmLite.track.duration = TRUE save.diss.stats = TRUE attr.rules = <list> Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 2/5 Prevalence: 11 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 3/5 Prevalence: 12 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 4/5 Prevalence: 11 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 5/5 Prevalence: 13 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 2/5 Prevalence: 10 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 3/5 Prevalence: 14 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 4/5 Prevalence: 18 Population Size: 54 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 5/5 Prevalence: 20 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 2/5 Prevalence: 11 Population Size: 47 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 3/5 Prevalence: 15 Population Size: 45 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 4/5 Prevalence: 17 Population Size: 45 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 5/5 Prevalence: 16 Population Size: 44 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.067 NA 0.115 NA 0.115 nodefactor.deg.4.1 NA 20.467 NA 1.004 NA 1.222 SD(Statistic) triangle 0.258 nodefactor.deg.4.1 3.889 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.067 NA 0.115 NA 0.115 nodefactor.deg.4.1 NA 20.467 NA 1.004 NA 1.222 SD(Statistic) triangle 0.258 nodefactor.deg.4.1 3.889 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 22.867 -8.533 1.245 -1.713 3.818 nodematch.race 10 9.000 -10.000 0.622 -1.608 1.400 SD(Statistic) edges 4.824 nodematch.race 3.505 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 3.677 NA 0.315 NA 0.032 nodefactor.deg.2.2 NA 11.467 NA 0.843 NA 2.759 SD(Statistic) mean.age 1.221 nodefactor.deg.2.2 5.592 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 17.533 NA 1.552 NA 2.101 6.010 degree1 NA 17.867 NA 0.723 NA 1.155 2.800 degree2 NA 9.133 NA 0.798 NA 0.808 3.091 degree3 NA 3.467 NA 0.257 NA 0.611 1.885 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 5 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 22.133 -11.467 1.014 -2.828 3.361 nodematch.race 10 10.133 1.333 0.661 0.202 1.701 nodefactor.deg.5.1 NA 15.533 NA 0.716 NA 2.386 SD(Statistic) edges 3.925 nodematch.race 2.560 nodefactor.deg.5.1 2.774 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) Starting Network Simulation...<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 6/11 Prevalence: 13 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 7/11 Prevalence: 15 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 8/11 Prevalence: 18 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 9/11 Prevalence: 19 Population Size: 53 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 10/11 Prevalence: 21 Population Size: 50 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 1/3 Timestep: 11/11 Prevalence: 22 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 6/11 Prevalence: 22 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 7/11 Prevalence: 20 Population Size: 48 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 8/11 Prevalence: 21 Population Size: 49 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 9/11 Prevalence: 23 Population Size: 52 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 10/11 Prevalence: 25 Population Size: 51 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 2/3 Timestep: 11/11 Prevalence: 25 Population Size: 53 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 6/11 Prevalence: 16 Population Size: 44 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 7/11 Prevalence: 17 Population Size: 43 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 8/11 Prevalence: 19 Population Size: 44 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 9/11 Prevalence: 19 Population Size: 45 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 10/11 Prevalence: 17 Population Size: 43 ----------------------------<0c> Epidemic Simulation ---------------------------- Simulation: 3/3 Timestep: 11/11 Prevalence: 17 Population Size: 42 ----------------------------EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.091 NA 0.088 NA 0.157 nodefactor.deg.4.1 NA 19.909 NA 0.885 NA 1.774 SD(Statistic) triangle 0.292 nodefactor.deg.4.1 5.083 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) triangle NA 0.091 NA 0.088 NA 0.157 nodefactor.deg.4.1 NA 19.909 NA 0.885 NA 1.774 SD(Statistic) triangle 0.292 nodefactor.deg.4.1 5.083 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 24.879 -0.485 0.694 -0.175 1.565 nodematch.race 10 9.091 -9.091 0.573 -1.587 0.472 SD(Statistic) edges 6.642 nodematch.race 3.292 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) mean.age NA 5.405 NA 0.878 NA 0.322 nodefactor.deg.2.2 NA 9.697 NA 0.829 NA 1.994 SD(Statistic) mean.age 1.932 nodefactor.deg.2.2 4.760 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic) degree0 NA 17.848 NA 0.966 NA 0.794 5.552 degree1 NA 18.273 NA 0.363 NA 1.420 3.859 degree2 NA 8.848 NA 0.540 NA 0.735 3.104 degree3 NA 2.970 NA 0.207 NA 0.605 1.879 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) EpiModel Simulation ======================= Model class: netsim Simulation Summary ----------------------- Model type: SI No. simulations: 3 No. time steps: 11 No. NW groups: 1 Fixed Parameters --------------------------- inf.prob = 0.3 act.rate = 0.1 a.rate = 0.03 ds.rate = 0.03 di.rate = 0.03 groups = 1 Model Output ----------------------- Variables: s.num i.num num si.flow ds.flow di.flow a.flow Networks: sim1 ... sim3 Transmissions: sim1 ... sim3 Formation Statistics ----------------------- Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) edges 25 17.848 -28.606 2.088 -3.426 3.755 nodematch.race 10 7.242 -27.576 1.623 -1.699 1.617 nodefactor.deg.5.1 NA 14.424 NA 1.004 NA 1.415 SD(Statistic) edges 5.546 nodematch.race 3.336 nodefactor.deg.5.1 2.681 Duration and Dissolution Statistics ----------------------- Not available when: - `control$tergmLite == TRUE` - `control$save.network == FALSE` - `control$save.diss.stats == FALSE` - dissolution formula is not `~ offset(edges)` - `keep.diss.stats == FALSE` (if merging) [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.000000 1.050000 1.032258 1.000000 1.045455 1.000000 1.000000 1.000000 [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.040000 1.000000 1.064516 1.000000 1.000000 1.040000 1.000000 1.055556 [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.964286 2.827586 3.807692 4.560000 1.777778 2.517241 3.538462 4.181818 [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 [8] 1073741824 [1] 1.875000 2.750000 3.636364 4.200000 1.909091 2.800000 3.473684 3.761905 Network Diagnostics ----------------------- - Simulating 100 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 100 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 100 networks Network Diagnostics ----------------------- - Simulating 2 networks | Network Diagnostics ----------------------- - Simulating 100 networks Network Diagnostics ----------------------- - Simulating 2 networks | Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 10 networks Network Diagnostics ----------------------- - Simulating 2 networks | Network Diagnostics ----------------------- - Simulating 10 networks - Calculating formation statistics Network Diagnostics ----------------------- - Simulating 2 networks |**| - Calculating formation statistics[ FAIL 1 | WARN 1 | SKIP 113 | PASS 2147 ] ══ Skipped tests (113) ═════════════════════════════════════════════════════════ • On CRAN (113): 'test-cumulative_edgelist.R:20:3', 'test-cumulative_edgelist.R:85:3', 'test-cumulative_edgelist.R:106:3', 'test-dcm-long.R:6:3', 'test-dcm-long.R:22:3', 'test-dcm-long.R:41:3', 'test-dcm-long.R:60:3', 'test-dcm-long.R:79:3', 'test-dcm-long.R:99:3', 'test-dcm-long.R:120:3', 'test-dcm-long.R:135:3', 'test-dcm-long.R:151:3', 'test-dcm-long.R:171:3', 'test-dcm-long.R:194:3', 'test-dcm-long.R:209:3', 'test-dcm-long.R:225:3', 'test-dcm-long.R:245:3', 'test-dcm-long.R:262:3', 'test-dcm-long.R:277:3', 'test-dcm-long.R:293:3', 'test-dcm-long.R:314:3', 'test-dcm-long.R:339:3', 'test-dcm-long.R:354:3', 'test-dcm-long.R:371:3', 'test-dcm-long.R:390:3', 'test-dcm-long.R:411:3', 'test-dcm-long.R:426:3', 'test-dcm-long.R:442:3', 'test-dcm-long.R:462:3', 'test-dcm-long.R:487:3', 'test-ergm.ego.R:6:3', 'test-icm-long.R:6:3', 'test-icm-long.R:30:3', 'test-icm-long.R:55:3', 'test-icm-long.R:79:3', 'test-icm-long.R:102:3', 'test-icm-long.R:127:3', 'test-icm-long.R:150:3', 'test-icm-long.R:174:3', 'test-icm-long.R:199:3', 'test-icm-long.R:229:3', 'test-icm-long.R:252:3', 'test-icm-long.R:275:3', 'test-icm-long.R:300:3', 'test-icm-long.R:324:3', 'test-icm-long.R:348:3', 'test-icm-long.R:372:3', 'test-icm-long.R:398:3', 'test-icm-long.R:427:3', 'test-icm-long.R:459:3', 'test-icm-long.R:483:3', 'test-icm-long.R:507:3', 'test-icm-long.R:530:3', 'test-icm-long.R:552:3', 'test-icm-long.R:575:3', 'test-icm-long.R:598:3', 'test-icm-long.R:622:3', 'test-icm-long.R:647:3', 'test-net-long.R:4:3', 'test-net-long.R:290:3', 'test-net-long.R:335:3', 'test-net-long.R:352:3', 'test-net-long.R:454:3', 'test-net-long.R:567:3', 'test-net-long.R:653:3', 'test-net-long.R:698:3', 'test-net-tergmLite.R:6:3', 'test-net-tergmLite.R:56:3', 'test-net-tergmLite.R:112:3', 'test-net-tergmLite.R:171:3', 'test-net-tergmLite.R:231:3', 'test-netattr.R:32:3', 'test-netattr.R:51:3', 'test-netattr.R:100:3', 'test-netattr.R:150:3', 'test-netattr.R:185:3', 'test-netattr.R:214:3', 'test-netdx.R:6:5', 'test-netdx.R:75:5', 'test-netdx.R:100:5', 'test-netdx.R:116:5', 'test-netdx.R:161:5', 'test-netdx.R:189:5', 'test-netdx.R:216:5', 'test-netdx.R:246:5', 'test-netdx.R:263:5', 'test-netdx.R:276:5', 'test-netdx.R:290:5', 'test-netdx.R:314:5', 'test-netdx.R:6:5', 'test-netdx.R:75:5', 'test-netdx.R:100:5', 'test-netdx.R:116:5', 'test-netdx.R:161:5', 'test-netdx.R:189:5', 'test-netdx.R:216:5', 'test-netdx.R:246:5', 'test-netdx.R:263:5', 'test-netdx.R:276:5', 'test-netdx.R:290:5', 'test-netdx.R:314:5', 'test-netdx.R:365:3', 'test-netdx.R:388:3', 'test-netrestart.R:4:3', 'test-netrestart.R:36:3', 'test-netsim-parallel.R:4:3', 'test-netsim-parallel.R:23:3', 'test-netsim-parallel.R:42:3', 'test-netsim-parallel.R:60:3', 'test-networkLite.R:4:3', 'test-stergm.R:5:3', 'test-transmat-dendo.R:69:3', 'test-utils.R:93:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-get.R:90:3'): get_sims extracts simulations ──────────────────── Error in `xtfrm.data.frame(structure(list(sim1 = 1.66666666666667, sim2 = 0.333333333333332, sim3 = 1.33333333333333), row.names = 10L, class = "data.frame"))`: cannot xtfrm data frames Backtrace: ▆ 1. ├─testthat::expect_is(...) at test-get.R:90:3 2. │ └─testthat::quasi_label(enquo(object), label) 3. │ └─rlang::eval_bare(expr, quo_get_env(quo)) 4. └─EpiModel::get_sims(mod, sims = "mean", var = "i.num") 5. ├─base::xtfrm(`<df[,3]>`) 6. └─base::xtfrm.data.frame(`<df[,3]>`) [ FAIL 1 | WARN 1 | SKIP 113 | PASS 2147 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 2.5.0
Check: installed package size
Result: NOTE installed size is 5.1Mb sub-directories of 1Mb or more: doc 2.8Mb Flavor: r-oldrel-windows-x86_64