R Observatory: Metrics for GLMMadaptive version 0.9-7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

GLMMadaptive

0.9-7

Generalized Linear Mixed Models using Adaptive Gaussian Quadrature

13packages depend

126.8Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Dimitris RizopoulosFirst published 2018-06-1018 releasesCRAN page ↗GitHub ↗

Fits generalized linear mixed models for a single grouping factor under maximum likelihood approximating the integrals over the random effects with an adaptive Gaussian quadrature rule; Jose C. Pinheiro and Douglas M. Bates (1995) doi:10.1080/10618600.1995.10474663.

Install

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

install.packages("GLMMadaptive", 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("drizopoulos/GLMMadaptive")

Development version from drizopoulos/GLMMadaptive. 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-glmmadaptive

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-GLMMadaptive

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-GLMMadaptive

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

Health

CRAN checks

13OK

Slowest check: 3.8 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

4

Dependencies · direct

Check history

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
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 455 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 38%
Documented parameters: 83%
Return-value docs: 63%
References docs: 33%

Downloads

126.8K

CRAN downloads in the past year

Rank #1,264 · ~347/day · ~10.6K/mo

Releases R versions

Daily download trend is not available in this view yet.

7.8K30 days

25.6K90 days

126.8K1 year

Compare downloads with other packages →

Also on290 r2u15 autocran1K conda_forge39 c2d4u

Repository

GitHub ↗ drizopoulos/glmmadaptive

64Stars

14Forks

1Open issues

0Open PRs

3Releases

339Commits

2Contributors

generalized-linear-mixed-modelsmixed-modelsmixed-effects-models

339 commits · Last activity 2025-03-10 · 0% stars, 30d

Stars over time

2025-08-04 · 612026-07-07 · 64

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/drizopoulos/glmmadaptive on 2026-08-16.

Continuous integration (1)

GitHub Actions

Git structural (1)

.gitattributes

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (4)

MASSnlmeparallelmatrixStats

LinkingTo (0)

none

Suggests (10)

latticeknitr rmarkdown pkgdown multcomp emmeans estimability effects DHARMa optimParallel

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

13direct

2indirect

JMbayes2 aihuman powerEQTL ptmixed DHARMa afex broom.mixed buildmer ggeffects insight metafor parameters report

Code & Tests

People & History

People (1)

Maintainer (1)

Dimitris Rizopoulos

Author, Maintainer

Authors (1)

Dimitris Rizopoulos

Author, Maintainer

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.9-7Latest
2025-03-04 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
0.9-1
2023-10-17 · diff ↗
0.9-0
2023-06-22 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.8-8
2023-03-13 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.8-5
2022-02-07 · diff ↗
0.8-2
2021-07-19 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.8-0
2021-01-27 · diff ↗
0.7-15
2020-10-13 · diff ↗
0.7-0
2020-06-25 · diff ↗
R
R 4.0.0 released · 2020-04-24

Show 11 earlier events

0.6-8
2020-01-24 · diff ↗
0.6-5
2019-09-26 · diff ↗
0.6-0
2019-06-25 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.5-1
2019-01-29 · diff ↗
0.4-0
2018-11-05 · diff ↗
0.3-0
2018-09-27 · diff ↗
0.2-0
2018-07-03 · diff ↗
0.1-6
2018-06-12 · diff ↗
0.1-3
2018-06-10
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-06-10
Total releases: 18 / 8 yrs
License: GPL (>= 3) OSI
Download size: 83 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Mixed, Multilevel, and Hierarchical Models in R

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GLMMadaptive")

Format

Rizopoulos, D. (2025). GLMMadaptive: Generalized Linear Mixed Models using Adaptive Gaussian Quadrature (Version 0.9-7) [Computer software]. https://doi.org/10.32614/CRAN.package.GLMMadaptive

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 GLMMadaptive version 0.9-7 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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