R Observatory: Metrics for bayestestR version 0.20.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bayestestR

0.20.0Package record

Understand and Describe Bayesian Models and Posterior Distributions

28packages dependsuggested by 16

1.2Mdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Dominique MakowskiCRAN page ↗GitHub ↗Website ↗Issues ↗

Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 doi:10.1016/C2012-0-00477-2) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) doi:10.21105/joss.01541.

Changes in 0.20.0

Changes

sensitivity_to_prior() now supports models from package *brms*. All slopes need a normal, student_t, or cauchy prior.
p_rope() now actually is just a wrapper for rope(ci = 1).
equivalence_test() methods gain a ci_method argument passed to rope() to select the type of credible interval used in the ROPE calculation (#777).
bayesian_as_frequentist() gains a resp argument to convert one response of a multivariate *brms* model (easystats/performance#908).

Bug fixes

bayesian_as_frequentist() now works for linear mixed models from *BayesFactor* (with random factors set in whichRandom). They are refit with lme4::lmer() (#505).

Show all changes in 0.20.0Hide the rest of the changes in 0.20.0

If suggested packages are not installed, the Bayes factor vignette now builds. Before, its inline code ran and failed with "object not found".
equivalence_test() no longer prints "HDI" columns when using other CI methods (such as the default ETI).
Fixed issue with printing wrong column order of multiple CI columns in describe_posterior().
If the model formula transforms the response, for example with scale(y) or sqrt(y), rope_range() now uses the standard deviation of the transformed response. For linear models, the default ROPE is then on the same scale as the model parameters.
For multivariate *brms* models with resp_weights() and ordinal responses, rope_range() now returns one ROPE per response, without a warning.
If simulate_prior() or check_prior() cannot simulate a prior, for example a laplace or flat prior, it now gives a warning that names the parameters. Before, it returned a column of NA with no warning.
For *brms* models with a censored outcome, such as y | cens(censored), mediation() now works (#631). Before, it failed with an indexing error, such as "subscript out of bounds".
If the mediator enters the outcome model with mo(), mediation() now gives an informative error (#576). If a coefficient for the treatment or mediator is not in the model, the error names it. Before, both cases failed with an indexing error, such as "undefined columns selected".

From NEWS.md in the release

Install

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

install.packages("bayestestR", 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("easystats/bayestestR")

Development version from easystats/bayestestR. 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-bayestestr

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-bayestestR

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-bayestestR

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: 4.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-10-17
WARNING12 OK, 1 WARNING2026-10-01
OK13 OK2026-09-16
ERROR9 OK, 3 WARNING, 1 ERROR2026-09-04
WARNING11 OK, 2 WARNING2026-05-25

Show 4 earlier changesHide 4 earlier changes

ERROR11 OK, 2 ERROR2026-05-22
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.20.0

READMEYes · 1,882 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.20.0Citation fileYes · cites a publicationWebsiteYes · pkgdown

Cites a JOSS paper

Help pages: 62 (11 internal)includes a package overview page
Examples that run: 64%30 run in a plain check (21 of them under a condition) · 16 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 96%
Documented parameters: 98%
Return-value docs: 58%
Help pages citing references: 47%

Vignettes (1)

Overview of Vignettes

How these are measured

Downloads

1.2M

CRAN downloads in the past year

Rank #344 · ~3.3K/day · ~100.4K/mo

Releases R versions

Daily download trend is not available in this view yet.

99.9K30 days

289.1K90 days

1.2M1 year

Compare downloads with other packages →

Also on18.8K r2u37 autocran19.4K conda_forge462 c2d4u

How downloads are counted

Repository

easystats/bayestestr ↗Organization: easystats

598Stars

63Forks

33Open issues

5Open PRs

23Releases

3,148Commits

30Commit identities

bayesianposterior-distributionsrrstatseasystatsropehdimap

License file reads as GPL-3.0 · 3,148 commits · Last activity 2026-10-19 · +0.3% stars, 30d · Discussions: 29 posts

Responsiveness

How these are sampled

PRs merged (all time): 94%
Median days to close, 50 most recently updated closed issues: 33
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-10-13 · 5802026-10-10 · 598

How these are measured

PracticesBeta

20 development-tooling and community-health practices detected across 8 families in the upstream repository

Checks run against github.com/easystats/bayestestr on 2026-10-11.

Continuous integration (1)

GitHub Actions

Governance and community (7)

Code of conductContributing guideIssue templatesPR templateFundingSupport guide

Funding links: GitHub Sponsors

The repository owner accepts GitHub Sponsors

Docs source (3)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-01

pkgdown site last built 2026-10-01, before release 0.20.0 (2026-10-16)

Coverage (1)

Coverage reporting

Show all practicesHide 4 practices

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdrevdep/

Lint, format, editor (4)

lintrLint workflowAirRStudio project

Git structural (1)

.gitattributes

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

GitHub Copilotfirst seen 2025-11-16
Pull request: opened by its own account
Commits: 2 by its own account · at least 2 crediting it in the message
Gemini CLIfirst seen 2026-02-05
Seen in the repository: GEMINI.md
Named in .Rbuildignore: GEMINI.md

Review tools

Copilot code review
Commits: at least 2 accepting its review suggestions

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

43 external dependencies (excludes base and recommended)

Installing bayestestR adds 2 packages (0 with compiled code, 1.6 MB of source tarballs). Heaviest: insight 1.2 MB, datawizard 432 KB.

Depends (1)

R >= 3.6

Imports (6)

insight datawizardgraphicsmethodsstatsutils

LinkingTo (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

28direct

68indirect

Imports 28

Suggested by 16

Show all 44 packagesHide all 44 packages

Depends, Imports or LinkingTo, most downloaded first

Suggests, most downloaded first

insight emmeans datawizard marginaleffects ggeffects ggstatsplot ordbetareg cogmod BayesERtools bsitar nichetools colleyRstats glmbayesCore DPI qbrms MLMES

How these are counted

Code & Tests

Datasets

People & History

People (12)

Dominique Makowski

Author, Maintainer since 0.1.0 (2019)

Mattan S. Ben-Shachar

Author · added in 0.2.0

Daniel Lüdecke

Author

Indrajeet Patil

Author · added in 0.9.0

Brenton M. Wiernik

Author · added in 0.11.0

Micah K. Wilson

Author · added in 0.15.0

Sam Crawley

Contributor · added in 0.7.5

Quentin F. Gronau

Contributor · added in 0.3.0

Miura Meng

Contributor · added in 0.19.0

Henrik Singmann

Contributor · added in 0.3.0

Paul-Christian Bürkner

Reviewer · added in 0.2.5

Tristan Mahr

Reviewer · added in 0.2.5

Listed in earlier versions (1)

Michael D. Wilson

no longer listed · 0.2.2 to 0.14.0

Releases (37)

Pick two releases to compare their code metrics.

0.20.0Latest
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2026-10-16 · current release · diff ↗
0.19.0
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2026-09-09 · diff ↗
0.18.1
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2026-05-24 · diff ↗
0.18.0
record
2026-05-21 · diff ↗
R
R 4.6.0 released · 2026-04-24
0.17.0
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2025-08-29 · diff ↗ ·
removed 1 export
rnorm_perfect

added 1 export
display
0.16.1
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2025-07-01 · diff ↗
0.16.0
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2025-05-20 · diff ↗
0.15.3
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2025-04-28 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.15.2
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2025-02-07 · diff ↗
0.15.1
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2025-01-17 · diff ↗
0.15.0
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2024-10-17 · diff ↗ ·
removed 1 export
cwi
0.14.0
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2024-07-24 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.13.2
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2024-02-12 · diff ↗

Show 30 earlier eventsHide 30 earlier events

R
R 4.3.0 released · 2023-04-21
0.13.1
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2023-04-07 · diff ↗ ·
removed 1 export
reshape_ci
0.13.0
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2022-09-18 · diff ↗ ·
added 4 exports
contr.equalprior, contr.equalprior_deviations, contr.equalprior_pairs, p_to_bf
0.12.1
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2022-05-02 · diff ↗ ·
added 1 export
spi
R
R 4.2.0 released · 2022-04-22
0.11.5
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2021-10-30 · diff ↗
0.11.0
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2021-09-03 · diff ↗ ·
added 2 exports
cwi, model_to_priors
0.10.5
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2021-07-26 · diff ↗ ·
added 1 export
simulate_simpson
0.10.0
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2021-05-31 · diff ↗ ·
added 4 exports
bcai, bci, contr.orthonorm, diagnostic_draws
R
R 4.1.0 released · 2021-05-18
0.9.0
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2021-04-08 · diff ↗ ·
removed 1 export
mhdior

added 10 exports
bic_to_bf, distribution_binom, distribution_chisq, distribution_gaussian, distribution_student_t, distribution_t, print_html, print_md, reshape_draws, reshape_iterations
0.8.2
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2021-01-26 · diff ↗ ·
removed 2 exports
bayesfactor_pointull, bf_pointull

added 2 exports
bayesfactor_pointnull, bf_pointnull
0.8.0
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2020-12-05 · diff ↗ ·
added 2 exports
sexit, sexit_thresholds
0.7.5
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2020-10-22 · diff ↗ ·
added 2 exports
distribution_nbinom, unupdate
0.7.2
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2020-07-20 · diff ↗ ·
added 1 export
mediation
0.7.0
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2020-06-19 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.6.0
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2020-04-20 · diff ↗
0.5.3
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2020-03-26 · diff ↗ ·
added 1 export
simulate_difference
0.5.2
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2020-02-12 · diff ↗
0.5.1
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2020-01-27 · diff ↗
0.5.0
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2020-01-18 · diff ↗ ·
removed 1 export
bayesfactor_savagedickey

added 13 exports
bayesfactor_pointull, bayesfactor_rope, bf_inclusion, bf_models, bf_parameters, bf_pointull, bf_restricted, bf_rope, distribution_tweedie, mhdior, p_pointnull, si, weighted_posteriors
0.4.0
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2019-10-20 · diff ↗ ·
added 7 exports
bayesian_as_frequentist, convert_bayesian_as_frequentist, distribution_binomial, overlap, p_significance, simulate_correlation, simulate_ttest
0.3.0
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2019-09-22 · diff ↗ ·
added 4 exports
check_prior, contr.bayes, distribution_gamma, simulate_prior
0.2.5
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2019-08-06 · diff ↗ ·
removed 2 exports
estimate_probability, probability_at

added 5 exports
bayesfactor_parameters, bayesfactor_restricted, eti, reshape_ci, sensitivity_to_prior
0.2.2
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2019-06-20 · diff ↗ ·
added 5 exports
convert_p_to_pd, convert_pd_to_p, distribution_mixture_normal, p_to_pd, pd_to_p
0.2.0
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2019-05-29 · diff ↗ ·
added 24 exports
area_under_curve, auc, bayesfactor, bayesfactor_inclusion, bayesfactor_models, bayesfactor_savagedickey, describe_posterior, describe_prior, diagnostic_posterior, distribution, distribution_beta, distribution_cauchy, distribution_chisquared, distribution_custom, distribution_normal, distribution_poisson, distribution_student, distribution_uniform, effective_sample, estimate_density, estimate_probability, mcse, point_estimate, probability_at
R
R 3.6.0 released · 2019-04-26
0.1.0
record
2019-04-08
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2019-04-08
Total releases: 37 / 7 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.6
Bundled data: 0.4 KB / 1 file
Download size: 576 KB

Appears in task views

Bayesian Inference

Cite

Cite this package

Run in R for the authors' entry:

citation("bayestestR")

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

It points to 10.21105/joss.01541.

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 bayestestR version 0.20.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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