R Observatory: Metrics for r2glmm version 0.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

r2glmm

0.1.3

Computes R Squared for Mixed (Multilevel) Models

0packages depend

22.2Kdownloads / year

31.0%test coverage

13/13checks pass

Overview

About

Maintained by Byron JaegerFirst published 2016-09-154 releasesCRAN page ↗GitHub ↗

The model R squared and semi-partial R squared for the linear and generalized linear mixed model (LMM and GLMM) are computed with confidence limits. The R squared measure from Edwards et.al (2008) DOI:10.1002/sim.3429 is extended to the GLMM using penalized quasi-likelihood (PQL) estimation (see Jaeger et al. 2016 DOI:10.1080/02664763.2016.1193725). Three methods of computation are provided and described as follows. First, The Kenward-Roger approach. Due to some inconsistency between the 'pbkrtest' package and the 'glmmPQL' function, the Kenward-Roger approach in the 'r2glmm' package is limited to the LMM. Second, The method introduced by Nakagawa and Schielzeth (2013) DOI:10.1111/j.2041-210x.2012.00261.x and later extended by Johnson (2014) DOI:10.1111/2041-210X.12225. The 'r2glmm' package only computes marginal R squared for the LMM and does not generalize the statistic to the GLMM; however, confidence limits and semi-partial R squared for fixed effects are useful additions. Lastly, an approach using standardized generalized variance (SGV) can be used for covariance model selection. Package installation instructions can be found in the readme file.

Install

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

install.packages("r2glmm", 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("bcjaeger/r2glmm")

Development version from bcjaeger/r2glmm. 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-r2glmm

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-r2glmm

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-r2glmm

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

Health

CRAN checks

13OK

Slowest check: 1.2 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.03

31.0%

Coverage · measured lines

100%

Documentation · exports

9

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
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 722 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 10%

Downloads

22.2K

CRAN downloads in the past year

Rank #3,939 · ~61/day · ~1.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

54630 days

2.2K90 days

22.2K1 year

Compare downloads with other packages →

Also on129 r2u30 autocran56 c2d4u

Repository

GitHub ↗ bcjaeger/r2glmm

16Stars

8Forks

5Open issues

0Open PRs

0Releases

47Commits

1Contributors

47 commits · Last activity 2025-04-28

Stars over time

2024-09-23 · 162026-07-07 · 16

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/bcjaeger/r2glmm on 2026-08-23.

Continuous integration (1)

GitHub Actions

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (9)

mgcvMatrixpbkrtest ggplot2 afexstatsMASSgridExtragrid

LinkingTo (0)

none

Suggests (6)

lme4nlmetestthat data.table dplyr lmerTest

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Byron Jaeger

Author, Maintainer

Authors (1)

Byron Jaeger

Author, Maintainer

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.1.3Latest
2025-04-28 · current release · diff ↗
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
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.1.2
2017-08-05 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.1.1
2016-11-28 · diff ↗
0.1.0
2016-09-15
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-09-15
Total releases: 4 / 10 yrs
License: GPL-2 OSI
Download size: 21 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("r2glmm")

Format

Jaeger, B. (2025). r2glmm: Computes R Squared for Mixed (Multilevel) Models (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.r2glmm

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 r2glmm version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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