R Observatory: Metrics for projpred version 2.10.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

projpred

2.10.0

Projection Predictive Feature Selection

4packages depend

81.3Kdownloads / year

37.3%test coverage

13/13checks pass

Overview

About

Maintained by Osvaldo MartinFirst published 2018-02-1926 releasesCRAN page ↗GitHub ↗

Performs projection predictive feature selection for generalized linear models (Piironen, Paasiniemi, and Vehtari, 2020, doi:10.1214/20-EJS1711) with or without multilevel or additive terms (Catalina, Bürkner, and Vehtari, 2022, https://proceedings.mlr.press/v151/catalina22a.html), for some ordinal and nominal regression models (Weber, Glass, and Vehtari, 2025, doi:10.1007/s00180-024-01506-0), and for many other regression models (using the latent projection by Catalina, Bürkner, and Vehtari, 2021, doi:10.48550/arXiv.2109.04702, which can also be applied to most of the former models). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the vignettes and the documentation for more information and examples.

Install

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

install.packages("projpred", 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("stan-dev/projpred")

Development version from stan-dev/projpred. 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-projpred

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-projpred

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-projpred

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

Health

CRAN checks

13OK

Slowest check: 9.5 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 1.11

37.3%

Coverage · measured lines

100%

Documentation · exports

18

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
OK2026-07-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-07-03
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 3 earlier snapshots

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

READMEYes · 310 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 93%
Return-value docs: 100%
References docs: 5%

Downloads

81.3K

CRAN downloads in the past year

Rank #1,743 · ~223/day · ~6.8K/mo

Releases R versions

Daily download trend is not available in this view yet.

3.9K30 days

13.6K90 days

81.3K1 year

Compare downloads with other packages →

Also on1.5K r2u16 autocran8.9K conda_forge30 c2d4u

Repository

GitHub ↗ stan-dev/projpred

114Stars

31Forks

44Open issues

1Open PRs

16Releases

4,417Commits

21Contributors

rstanarmstatisticsbayesianvariable-selectionstanbayesian-inferencer-packagebayes

4,417 commits · Last activity 2026-06-25 · 0% stars, 30d

Stars over time

2025-05-02 · 1112026-07-07 · 114

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 6 families in the upstream repository

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

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Automation and maintenance (1)

Dependabot

Show all practices

Lint, format, editor (1)

RStudio project

Governance and community (1)

Funding

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

Dependencies

Declared dependencies

39 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.6.0

Imports (18)

methodsutilsRcpp gtools ggplot2 scales rstantools (>= 2.0.0)loo lme4 mvtnormmgcvgamm4 abindMASSordinalnnetmclogit reformulas

LinkingTo (2)

Rcpp RcppArmadillo

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

4direct

0indirect

bscm BayesERtools SignalY brms

Code & Tests

Datasets

People & History

People (15)

Maintainer (1)

Osvaldo Martin

Maintainer, Author · added in 2.9.0

Authors (6)

Osvaldo Martin

Maintainer, Author · added in 2.9.0

Alejandro Catalina

Author · added in 2.0.0

Author

Author

Author

Author · added in 2.1.0

Contributors (8)

Hamada S. Badr

Contributor · added in 2.1.0

Paul-Christian Bürkner

Contributor · added in 1.1.0

Marco Colombo

Contributor · added in 1.1.4

Jonah Gabry

Contributor

Yann McLatchie

Contributor · added in 2.4.0

Sölvi Rögnvaldsson

Contributor · added in 2.2.2

Brian Sullivan

Contributor · added in 2.2.1

Juho Timonen

Contributor · added in 2.5.0

Copyright holders (1)

The LME4 Authors

Copyright holder · added in 2.4.0

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
2.10.0Latest
2025-12-06 · current release · diff ↗
2.9.1
2025-10-28 · diff ↗
2.9.0
2025-07-09 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
2.8.0
2023-12-15 · diff ↗
2.7.0
2023-10-01 · diff ↗
2.6.0
2023-06-01 · diff ↗
unarchivedReturned to CRAN
2023-06-01
archivedRemoved from CRAN
2023-05-31
issues were not corrected in time
R
R 4.3.0 released · 2023-04-21
2.5.0
2023-04-05 · diff ↗
2.4.0
2023-02-12 · diff ↗
2.3.0
2023-01-10 · diff ↗
2.2.2
2022-11-09 · diff ↗

Show 24 earlier events

2.2.1
2022-09-20 · diff ↗
2.2.0
2022-08-19 · diff ↗
2.1.2
2022-05-13 · diff ↗
R
R 4.2.0 released · 2022-04-22
2.1.1
2022-04-03 · diff ↗
2.1.0
2022-04-01 · diff ↗
R
R 4.1.0 released · 2021-05-18
2.0.2
2020-10-28 · diff ↗
2.0.0
2020-10-26 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.1.6
2020-04-01 · diff ↗
1.1.5
2020-01-30 · diff ↗
unarchivedReturned to CRAN
2020-01-30
archivedRemoved from CRAN
2020-01-16
check issues were not corrected in time 'Additional issues'
1.1.4
2019-10-03 · diff ↗
1.1.2
2019-06-01 · diff ↗
R
R 3.6.0 released · 2019-04-26
1.1.1
2019-03-12 · diff ↗
1.1.0
2018-10-24 · diff ↗
1.0.0
2018-09-18 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.8.0
2018-04-16 · diff ↗
0.7.0
2018-02-19
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-02-19
Total releases: 26 / 8 yrs
License: GPL-3 | file LICENSE OSI
Additional repositories: stan-dev.r-universe.dev
Minimum R: ≥ 3.6.0
Bundled data: 40 KB / 3 files
Download size: 498 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("projpred")

Format

Martin, O., Badr, H. S., Bürkner, P., Catalina, A., Colombo, M., Gabry, J., McLatchie, Y., Paasiniemi, M., Piironen, J., Rögnvaldsson, S., Sullivan, B., The LME4 Authors, , Timonen, J., Vehtari, A., & Weber, F. (2025). projpred: Projection Predictive Feature Selection (Version 2.10.0) [Computer software]. https://doi.org/10.32614/CRAN.package.projpred

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 projpred version 2.10.0 [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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