R Observatory: Metrics for bpgmm version 1.3.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bpgmm

1.3.1Package record

Bayesian Model Selection Approach for Parsimonious Gaussian Mixture Models

0packages depend

4.1Kdownloads / year

88.5%test coverage

13/13flavors OK

Overview

About

Maintained by Yaoxiang LiCRAN page ↗GitHub ↗Website ↗Issues ↗

Model-based clustering using Bayesian parsimonious Gaussian mixture models. MCMC (Markov chain Monte Carlo) are used for parameter estimation. The RJMCMC (Reversible-jump Markov chain Monte Carlo) is used for model selection. GREEN et al. (1995) doi:10.1093/biomet/82.4.711.

Changes in 1.3.1

Revised the vignette set to reduce repeated examples across vignettes.
Made the model-and-sampler, data-preparation, model-selection, variable-prioritization, and diagnostics vignettes more formula-focused and closer to the notation in Lu, Li, and Love (2021).
Changed the variable-prioritization simulation so it no longer duplicates the larger MFA model-selection example.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("bpgmm", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("YaoxiangLi/bpgmm")

Development version from YaoxiangLi/bpgmm. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bpgmm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-bpgmm

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-bpgmm

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 5.7 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-05-02
NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.3.1

READMEYes · 468 wordsVignettesYes · 7 · dynamicNEWSYes · 100% structured · mentions 1.3.1Citation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 7 (2 internal)
Examples that run: no examples
Exported functions with examples: 0%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (7)

How these are measured

Downloads

4.1K

CRAN downloads in the past year

Rank #6,253 · ~11/day · ~339/mo

Releases R versions

Daily download trend is not available in this view yet.

56930 days

1.3K90 days

4.1K1 year

Compare downloads with other packages →

Also on417 r2u49 autocran

How downloads are counted

Repository

yaoxiangli/bpgmm ↗Account: YaoxiangLi

1Stars

0Forks

0Open issues

0Open PRs

1Releases

60Commits

2Commit identities

60 commits · Last activity 2026-07-24 · 0% stars, 30d · Default branch at 1.3.4, ahead of CRAN 1.3.1 (checked 2026-10-18)

Responsiveness

not measured

Stars over time

2026-06-29 · 12026-07-07 · 1

How these are measured

PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/yaoxiangli/bpgmm on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-07-24 · The repository has a site deploy workflow

pkgdown site last built 2026-07-24

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Installing bpgmm adds 53 packages (25 with compiled code, 31 MB of source tarballs). Heaviest: ggplot2 6.0 MB, corrplot 3.6 MB, mclust 2.7 MB.

Depends (1)

R >= 3.1.0

Imports (11)

methodsmcmcse pgmm mvtnormMASSparallelRcpp (>= 1.0.1)gtools label.switching fabMix (>= 5.0)mclust

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Yaoxiang Li

Author, Maintainer since 1.0.5 (2019)

Tanzy Love

Author

Xiang Lu

Author

Releases (6)

Pick two releases to compare their code metrics.

1.3.1Latest
record
2026-05-28 · current release · diff ↗ ·
added 5 exports
constraint_to_model, model_to_constraint, pgmm_rjmcmc, pgmm_rjmcmc_chains, summarize_pgmm_rjmcmc
R
R 4.6.0 released · 2026-04-24
1.1.1
record
2025-10-30 · diff ↗ ·
removed 10 exports
CalculateProposalLambda, CalculateProposalPsy, EvaluateProposalLambda, generatePriorLambda, generatePriorPsi, generatePriorThetaY, pgmmRJMCMC, stayMCMCupdate, summerizePgmmRJMCMC, toEthetaYlist
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
1.0.9
record
2022-06-01 · diff ↗
unarchivedReturned to CRAN
2022-05-30
1.0.8
record
2022-05-30 · diff ↗
archivedRemoved from CRAN
2022-05-21
requires archived package 'pgmm'
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.0.7
record
2020-05-19 · diff ↗ ·
removed 8 exports
EvaluateProposalPsy, calculateRatio, evaluatePrior, getZmat, likelihood, listToStrVec, parsimoniousGaussianMixtureModel, updatePostThetaY

added 6 exports
generatePriorLambda, generatePriorPsi, pgmmRJMCMC, stayMCMCupdate, summerizePgmmRJMCMC, toEthetaYlist
R
R 4.0.0 released · 2020-04-24
1.0.5
record
2019-08-02
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-08-02
Total releases: 6 / 7 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.1.0
Download size: 188 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("bpgmm")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1007/s00357-021-09391-8.

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 bpgmm version 1.3.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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