BayesRGMM: Bayesian Robust Generalized Mixed Models for Longitudinal Data

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>.

Package details

AuthorKuo-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]
MaintainerKuo-Jung Lee <kuojunglee@ncku.edu.tw>
LicenseGPL-2
Version2.0
URL https://sites.google.com/view/kuojunglee/r-packages
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BayesRGMM")

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BayesRGMM documentation built on Nov. 27, 2021, 5:07 p.m.