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rstanarm

2.32.2

Bayesian Applied Regression Modeling via Stan

54packages depend
408.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Ben GoodrichFirst published 2016-01-0923 releasesCRAN page ↗GitHub ↗

Estimates previously compiled regression models using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation. Users specify models via the customary R syntax with a formula and data.frame plus some additional arguments for priors.

Install

Health

CRAN checks
13OK
Slowest check: 46.4 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.24
not tracked
Coverage
100%
Documentation · exports
17
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-29
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-27
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-23
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 7 earlier snapshots
  • ERROR2026-06-20
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-07
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
73%
Return-value docs
88%
References docs
33%

Downloads

408.9K
CRAN downloads in the past year
Rank #503 · ~1.1K/day · ~34.1K/mo
Daily download trend is not available in this view yet.
44.5K30 days
150K90 days
408.9K1 year
Compare downloads with other packages →
Also on8.3K r2u33 autocran5.7K conda_forge103 c2d4u

Repository

Repository
400Stars
137Forks
164Open issues
8Open PRs
8Releases
3,364Commits
41Contributors
stanmultilevel-modelsr-packagebayesianbayesian-inferencebayesian-methodsbayesian-statisticsbayesian-data-analysis
License GPL-3.0 · 3,364 commits · Last activity 2026-08-10 · +0.3% stars, 30d

Stars over time

2025-08-18 · 3932026-08-04 · 400

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/stan-dev/rstanarm on 2026-08-16.

Continuous integration (1)
GitHub Actions
Automation and maintenance (1)
Dependabot
Lint, format, editor (1)
RStudio project
Governance and community (2)
Issue templatesFunding
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
31 external dependencies (excludes base and recommended)
Depends (3)
R >= 3.4.0Rcppmethods
Enhances (0)
none

Code & Tests

Datasets

People & History

People (16)
Maintainer (1)
Maintainer, Author
Authors (2)
Maintainer, Author
Contributors (4)
Contributor · added in 2.17.3
Contributor · added in 2.15.2
Contributor · added in 2.17.2
Contributor · added in 2.17.3
Copyright holders (10)
Copyright holder
Copyright holder
Copyright holder · added in 2.17.4
Copyright holder
Copyright holder
Copyright holder
Copyright holder
Show 2 more copyright holders
Copyright holder
Copyright holder · added in 2.17.2
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 2.32.2Latest
    2025-09-30 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 2.32.1
    2024-01-19 · diff ↗
  • 2.26.1
    2023-09-14 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 2.21.4
    2023-04-08 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 2.21.3
    2022-04-09 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 2.21.1
    2020-07-20 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 2.19.3
    2020-02-11 · diff ↗
  • 2.19.2
    2019-10-03 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
Show 19 earlier events
  • 2.18.2
    2018-11-10 · diff ↗
  • 2.18.1
    2018-10-21 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 2.17.4
    2018-04-13 · diff ↗
  • 2.17.3
    2018-02-18 · diff ↗
  • 2.17.2
    2017-12-21 · diff ↗
  • 2.15.3
    2017-04-29 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 2.15.2
    2017-04-19 · diff ↗
  • 2.14.1
    2017-01-17 · diff ↗
  • 2.13.1
    2016-11-20 · diff ↗
  • 2.12.1
    2016-09-13 · diff ↗
  • 2.11.1
    2016-07-29 · diff ↗
  • 2.10.1
    2016-06-25 · diff ↗
  • 2.9.0-4
    2016-05-24 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 2.9.0-3
    2016-02-13 · diff ↗
  • 2.9.0-1
    2016-01-09
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2016-01-09
Total releases
23 / 10 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.4.0
Bundled data
38 KB / 10 files
Download size
3.8 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rstanarm")
Goodrich, B., AstraZeneca, Ali, I., Bates, D., Bolker, B., Brilleman, S., Burkner, P., Columbia University, T. o., Deveopment Team, R. C., Gabry, J., Maechler, M., Novik, J. B., Ripley, B., Venables, W., Walker, S., & Wood, S. (2025). rstanarm: Bayesian Applied Regression Modeling via Stan (Version 2.32.2) [Computer software]. https://doi.org/10.32614/CRAN.package.rstanarm

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rstanarm version 2.32.2 [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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