CRAN/E | BayesRGMM

BayesRGMM

Bayesian Robust Generalized Mixed Models for Longitudinal Data

Installation

About

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 .

sites.google.com/view/kuojunglee/r-packages

Key Metrics

Version 2.2
R ≥ 3.5.0
Published 2022-05-10 718 days ago
Needs compilation? yes
License GPL-2
CRAN checks BayesRGMM results

Downloads

Yesterday 6 0%
Last 7 days 54 -34%
Last 30 days 246 -14%
Last 90 days 748 -20%
Last 365 days 3.178 -14%

Maintainer

Maintainer

Kuo-Jung Lee

kuojunglee@ncku.edu.tw

Authors

Kuo-Jung Lee

aut / cre

Hsing-Ming Chang

ctb

Ray-Bing Chen

ctb

Keunbaik Lee

ctb

Chanmin Kim

ctb

Material

Reference manual
Package source

Vignettes

Bayesian Robust Generalized Mixed Models for Longitudinal Data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BayesRGMM archive

Depends

R ≥ 3.5.0

Imports

Rcpp ≥ 1.0.1
MASS
batchmeans
abind
reshape
msm
mvtnorm
plyr
Rdpack

Suggests

testthat

LinkingTo

Rcpp
RcppArmadillo
RcppDist