R Observatory: Metrics for ProfileGLMM version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ProfileGLMM

1.1.0

Bayesian Profile Regression using Generalised Linear Mixed Models

0packages depend

1.5Kdownloads / year

–test coverage

12/13checks pass

Overview

About

Maintained by Matteo AmestoyFirst published 2025-12-182 releasesCRAN page ↗GitHub ↗

Implements a Bayesian profile regression using a generalized linear mixed model as output model. The package allows for binary (probit mixed model) and continuous (linear mixed model) outcomes and both continuous and categorical clustering variables. The package utilizes 'RcppArmadillo' and 'RcppDist' for high-performance statistical computing in C++. For more details see Amestoy & al. (2025) doi:10.48550/arXiv.2510.08304.

Install

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

install.packages("ProfileGLMM", 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("MatteoAmestoy/ProfileGLMM-package")

Development version from MatteoAmestoy/ProfileGLMM-package. 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-profileglmm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-ProfileGLMM

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-ProfileGLMM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

1ERROR12OK

Failing flavors

ERROR r-devel-linux-x86_64-debian-clang

Slowest check: 25.1 min · r-oldrel-macos-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

6

Dependencies · direct

Check history

ERROR2026-08-15
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-07-03
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-07-01
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 4 earlier snapshots

OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 87 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 94%
Return-value docs: 100%
References docs: 0%

Downloads

1.5K

CRAN downloads in the past year

Rank #22,310 · ~4/day · ~124/mo

Releases R versions

Daily download trend is not available in this view yet.

11230 days

48190 days

1.5K1 year

Compare downloads with other packages →

Also on265 r2u1 autocran

Repository

GitHub ↗ matteoamestoy/profileglmm-package

0Stars

0Forks

2Open issues

0Open PRs

0Releases

Last activity 2026-02-03

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/matteoamestoy/profileglmm-package on 2026-08-16.

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5

Imports (6)

Rcpp LaplacesDemon MCMCpackMatrixSpectrum mvtnorm

LinkingTo (3)

Rcpp RcppArmadillo RcppDist

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Matteo Amestoy

Author, Maintainer, Copyright holder

Authors (1)

Matteo Amestoy

Author, Maintainer, Copyright holder

Copyright holders (1)

Matteo Amestoy

Author, Maintainer, Copyright holder

Other (2)

Wessel van Wieringen

Thesis advisor

Mark van de Wiel

Thesis advisor

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.1.0Latest
2026-02-03 · current release · diff ↗
1.0.2
2025-12-18
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-12-18
Total releases: 2 / 1 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.5
Bundled data: 1.1 MB / 3 files
Download size: 1.1 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ProfileGLMM")

Format

Amestoy, M., van Wieringen, W., & van de Wiel, M. (2026). ProfileGLMM: Bayesian Profile Regression using Generalised Linear Mixed Models (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ProfileGLMM

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 ProfileGLMM version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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