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>.
Version: 2.2 Depends: R (≥ 3.5.0) Imports: Rcpp (≥ 1.0.1), MASS, batchmeans, abind, reshape, msm, mvtnorm, plyr, Rdpack LinkingTo: Rcpp, RcppArmadillo, RcppDist Suggests: testthat Published: 2022-05-10 DOI: 10.32614/CRAN.package.BayesRGMM Author: Kuo-Jung Lee [aut, cre], Hsing-Ming Chang [ctb], Ray-Bing Chen [ctb], Keunbaik Lee [ctb], Chanmin Kim [ctb] Maintainer: Kuo-Jung Lee <kuojunglee at ncku.edu.tw> License: GPL-2 URL: https://sites.google.com/view/kuojunglee/r-packages NeedsCompilation: yes CRAN checks: BayesRGMM results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=BayesRGMM to link to this page.
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