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[issues need fixing before 2025-12-18] |