## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set(collapse = TRUE, comment = "#>") ## ----load--------------------------------------------------------------------- library(slxr) data(defense_burden) names(defense_burden) dim(defense_burden$data) dim(defense_burden$W_contig) ## ----single-w----------------------------------------------------------------- W_contig <- slx_weights(style = "custom", matrix = defense_burden$W_contig, row_standardize = FALSE) fit <- slx(ch_milex ~ milex_tm1 + log_pop_tm1 + civilwar_tm1 + total_wars_tm1 + alliance_us + ch_milex_us + ch_milex_ussr, data = defense_burden$data, W = W_contig, lag = "total_wars_tm1") summary(fit) ## ----single-w-effects--------------------------------------------------------- slx_effects(fit) ## ----multi-w------------------------------------------------------------------ W_alliance <- slx_weights(style = "custom", matrix = defense_burden$W_alliance, row_standardize = FALSE) W_defense <- slx_weights(style = "custom", matrix = defense_burden$W_defense, row_standardize = FALSE) fit_multi <- slx( ch_milex ~ milex_tm1 + log_pop_tm1 + civilwar_tm1 + total_wars_tm1 + alliance_us + ch_milex_us + ch_milex_ussr, data = defense_burden$data, spatial = list( civilwar_tm1 = W_contig, total_wars_tm1 = list(contig = W_contig, alliance = W_alliance), milex_tm1 = list(contig = W_contig, defense = W_defense) ) ) slx_effects(fit_multi) ## ----plot, fig.width = 7, fig.height = 4-------------------------------------- library(ggplot2) slx_plot_effects(fit_multi, types = c("indirect", "total")) ## ----broom, eval = FALSE------------------------------------------------------ # tidy(fit_multi) # glance(fit_multi) # # modelsummary::modelsummary( # list("Contiguity only" = fit, "Multi-W" = fit_multi), # statistic = "conf.int" # )