R Observatory: Metrics for BayesRGMM version 2.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2025-12-25. Its history is shown below.

Reason: issues were not addressed in time

Details below reflect version 2.2, its last release before removal.

BayesRGMM

2.2Package record

Bayesian Robust Generalized Mixed Models for Longitudinal Data

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Kuo-Jung LeeCRAN page ↗Website ↗

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.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/BayesRGMM/BayesRGMM_2.2.tar.gz"
pkgFile <- "BayesRGMM_2.2.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (2.2) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.2

READMENoVignettesYes · 2 · dynamicNEWSNoCitation fileNoWebsiteYes

Help pages: 8
Examples that run: 14%1 run in a plain check · 6 never run
Exported functions with examples: 100%
Documented parameters: 95%
Return-value docs: 100%
Help pages citing references: 50% with a bibliography file

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on350 r2u26 autocran

How downloads are counted

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (9)

RcppMASSbatchmeans abind reshape msm mvtnorm plyr Rdpack

LinkingTo (3)

Rcpp RcppArmadillo RcppDist

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (5)

Kuo-Jung Lee

Author, Maintainer since 1.0 (2021)

Hsing-Ming Chang

Contributor · added in 2.0

Ray-Bing Chen

Contributor

Keunbaik Lee

Contributor

Chanmin Kim

Contributor

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2025-12-25
issues were not addressed in time
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
unarchivedReturned to CRAN
2022-05-10
2.2
record
2022-05-10 · diff ↗
archivedRemoved from CRAN
2022-04-22
check problems were not corrected in time
R
R 4.2.0 released · 2022-04-22
unarchivedReturned to CRAN
2021-12-20
2.1
record
2021-12-19 · diff ↗
archivedRemoved from CRAN
2021-12-12
check problems were not corrected in time
2.0
record
2021-11-27 · diff ↗ ·
added 2 exports
SimulatedDataGenerator.CumulativeProbit, BayesCumulativeProbitHSD
unarchivedReturned to CRAN
2021-05-27
1.1
record
2021-05-27 · diff ↗ ·
added 1 export
AR1.cor
R
R 4.1.0 released · 2021-05-18

Show 3 earlier eventsHide 3 earlier events

archivedRemoved from CRAN
2021-04-15
check problems were not corrected in time
1.0
record
2021-03-31
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-03-31
Total releases: 5 / 5 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.5.0
Bundled data: 204 KB / 1 file

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesRGMM")

Format

Lee, K., Chang, H., Chen, R., Lee, K., & Kim, C. (n.d.). BayesRGMM: Bayesian Robust Generalized Mixed Models for Longitudinal Data (Version 2.2) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=BayesRGMM

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BayesRGMM version 2.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →