Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Kuo-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] |
| Maintainer | Kuo-Jung Lee <kuojunglee@ncku.edu.tw> |
| License | GPL-2 |
| Version | 2.2 |
| URL | https://sites.google.com/view/kuojunglee/r-packages |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the BayesRGMM package in your browser
Any scripts or data that you put into this service are public.
