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 |