Package: BayesRGMM
Type: Package
Title: Bayesian Robust Generalized Mixed Models for Longitudinal Data
Version: 2.2
Depends: R (>= 3.5.0)
Date: 2022-05-06
Authors@R: 
  c(person(given = "Kuo-Jung",
           family = "Lee",
           role = c("aut", "cre"),
           email = "kuojunglee@ncku.edu.tw",
           comment = c(ORCID = "0000-0002-7388-4738")),
    person(given = "Hsing-Ming",
           family = "Chang",
           role = "ctb"),    
    person(given = "Ray-Bing",
           family = "Chen",
           role = "ctb"),
    person(given = "Keunbaik",
           family = "Lee",
           role = "ctb"),
    person(given = "Chanmin",
           family = "Kim",
           role = "ctb"))
Description: To perform model estimation using MCMC algorithms with Bayesian methods for incomplete longitudinal studies on binary and ordinal outcomes that are measured repeatedly on subjects over time with drop-outs. Details about the method can be found in the vignette or <https://sites.google.com/view/kuojunglee/r-packages/bayesrgmm>.
License: GPL-2
URL: https://sites.google.com/view/kuojunglee/r-packages
Encoding: UTF-8
Imports: Rcpp (>= 1.0.1), MASS, batchmeans, abind, reshape, msm,
        mvtnorm, plyr, Rdpack
RdMacros: Rdpack
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Suggests: testthat
RoxygenNote: 7.1.2
NeedsCompilation: yes
Packaged: 2022-05-09 15:03:10 UTC; kuojunglee
Author: Kuo-Jung Lee [aut, cre] (<https://orcid.org/0000-0002-7388-4738>),
  Hsing-Ming Chang [ctb],
  Ray-Bing Chen [ctb],
  Keunbaik Lee [ctb],
  Chanmin Kim [ctb]
Maintainer: Kuo-Jung Lee <kuojunglee@ncku.edu.tw>
Repository: CRAN
Date/Publication: 2022-05-10 12:30:13 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-12-05 04:04:18 UTC; windows
Archs: x64
