R Observatory: Metrics for brmsmargins version 0.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

brmsmargins

0.3.0Package record

Bayesian Marginal Effects for 'brms' Models

0packages dependsuggested by 1

39.2Kdownloads / year

91.8%test coverage

13/13flavors OK

Overview

About

Maintained by Joshua F. WileyCRAN page ↗GitHub ↗Website ↗Issues ↗

Calculate Bayesian marginal effects, average marginal effects, and marginal coefficients (also called population averaged coefficients) for models fit using the 'brms' package including fixed effects, mixed effects, and location scale models. These are based on marginal predictions that integrate out random effects if necessary (see for example doi:10.1186/s12874-015-0046-6 and doi:10.1111/biom.12707).

Changes in 0.3.0

Now supports response variables with a binomial distribution. Predictions that marginalise over random effects will use the number of trials. For contrasts, such as using brmsmargins() you can use the at = argument to force trials to 1 to get marginal probabilities rather than counts of successful trials.
Experimental support for integrating out random effects from a student t distribution. Currently only supports this for location parameters. When dpar is not empty in brms only Gaussian distributions are supported. Some caution is needed here as brms uses the same degree of freedom parameter for all random effects of the same grouping variable, so for complex random effect structures, there may be errors in how they are integrated out.

From NEWS.md in the release

Install

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

install.packages("brmsmargins", 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("JWiley/brmsmargins")

Development version from JWiley/brmsmargins. 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-brmsmargins

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-brmsmargins

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-brmsmargins

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: 35.4 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-04
WARNING12 OK, 1 WARNING2026-07-03
OK13 OK2026-06-09

Show 5 earlier changesHide 5 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-25
WARNING12 OK, 1 NOTE, 1 WARNING2026-04-22
ERROR11 OK, 1 NOTE, 1 WARNING, 1 ERROR2026-04-18
WARNING10 OK, 4 WARNING2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.3.0

READMEYes · 620 wordsVignettesYes · 3 · staticNEWSYes · 100% structured · mentions 0.3.0Citation fileNoWebsiteYes · pkgdown

Help pages: 18 (8 internal)
Examples that run: 88%7 run in a plain check · 1 never run
Exported functions with examples: 80%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 22%

Vignettes (3)

How these are measured

Downloads

39.2K

CRAN downloads in the past year

Rank #2,329 · ~107/day · ~3.3K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.5K30 days

7.2K90 days

39.2K1 year

Compare downloads with other packages →

Also on1.9K r2u30 autocran

How downloads are counted

Repository

jwiley/brmsmargins ↗Account: JWiley

21Stars

2Forks

1Open issues

0Open PRs

2Releases

109Commits

2Commit identities

109 commits · Last activity 2026-06-18 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 42
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2024-02-14 · 192026-09-03 · 21

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/jwiley/brmsmargins on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-06-18 · The repository has a site deploy workflow

pkgdown site last built 2026-06-18

Coverage (1)

Coverage reporting (Codecov)

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

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Installing brmsmargins adds 78 packages (37 with compiled code, 84 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)

R >= 4.0.0

Imports (8)

methodsstatsdata.table extraoperators (>= 0.1.1)brms bayestestR Rcpp posterior

LinkingTo (2)

RcppArmadillo Rcpp

Suggests (7)

testthat covr withr knitr rmarkdown margins betareg

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

marginaleffects

How these are counted

Code & Tests

People & History

People (2)

Joshua F. Wiley

Author, Maintainer since 0.1.1 (2021)

Donald Hedeker

Author · added in 0.2.0

Releases (4)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.3.0Latest
record
2026-04-06 · current release · diff ↗ ·
added 1 export
integratemvt
0.2.1
record
2025-09-26 · 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
0.2.0
record
2022-05-19 · diff ↗ ·
added 2 exports
lmcpp, marginalcoef
R
R 4.2.0 released · 2022-04-22
0.1.1
record
2021-12-16
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-12-16
Total releases: 4 / 5 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.0.0
Download size: 960 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("brmsmargins")

Format

Wiley, J. F., & Hedeker, D. (2026). brmsmargins: Bayesian Marginal Effects for 'brms' Models (Version 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.brmsmargins

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 brmsmargins version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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