R Observatory: Metrics for varbvs version 2.6-10

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

varbvs

2.6-10

Large-Scale Bayesian Variable Selection Using Variational Methods

2packages depend

5.4Kdownloads / year

76.9%test coverage

13/13checks pass

Overview

About

Maintained by Peter CarbonettoFirst published 2012-04-107 releasesCRAN page ↗GitHub ↗

Fast algorithms for fitting Bayesian variable selection models and computing Bayes factors, in which the outcome (or response variable) is modeled using a linear regression or a logistic regression. The algorithms are based on the variational approximations described in "Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies" (P. Carbonetto & M. Stephens, 2012, DOI:10.1214/12-BA703). This software has been applied to large data sets with over a million variables and thousands of samples.

Install

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

install.packages("varbvs", 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("pcarbo/varbvs")

Development version from pcarbo/varbvs. 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-varbvs

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-varbvs

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-varbvs

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

Health

CRAN checks

13OK

Slowest check: 5.9 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.09

76.9%

Coverage · measured lines

100%

Documentation · exports

8

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
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 82%
Return-value docs: 80%
References docs: 78%

Downloads

5.4K

CRAN downloads in the past year

Rank #8,811 · ~15/day · ~448/mo

Releases R versions

Daily download trend is not available in this view yet.

25930 days

1K90 days

5.4K1 year

Compare downloads with other packages →

Also on468 r2u27 autocran29 c2d4u

Repository

GitHub ↗ pcarbo/varbvs

42Stars

14Forks

17Open issues

0Open PRs

2Releases

921Commits

2Contributors

License GPL-3.0 · 921 commits · Last activity 2023-03-22 · 0% stars, 30d

Stars over time

2024-04-18 · 402026-07-07 · 42

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/pcarbo/varbvs on 2026-08-16.

Continuous integration (2)

Travis CIAppVeyor

Git structural (1)

.gitattributes

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.1.0

Imports (8)

methodsMatrixstatsgraphicslatticelatticeExtra Rcpp nor1mix

LinkingTo (1)

Rcpp

Suggests (6)

curl glmnet qtl knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

3indirect

SelectBoost mr.mashr

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Peter Carbonetto

Author, Maintainer

Authors (2)

Peter Carbonetto

Author, Maintainer

Matthew Stephens

Author · added in 2.0.0

Contributors (1)

David Gerard

Contributor · added in 2.0-8

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
2.6-10Latest
2023-05-31 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
2.6-8
2023-03-22 · diff ↗
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
2.5-16
2019-03-07 · diff ↗
R
R 3.5.0 released · 2018-04-23
2.4-0
2017-09-08 · diff ↗
R
R 3.4.0 released · 2017-04-21
2.0-8
2017-03-24 · diff ↗
2.0.0
2016-05-28 · diff ↗

Show 6 earlier events

R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
R
R 3.1.0 released · 2014-04-10
R
R 3.0.0 released · 2013-04-03
1.0
2012-04-10
R
R 2.15.0 released · 2012-03-30

Package metadata

First published: 2012-04-10
Total releases: 7 / 14 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.1.0
Bundled data: 1.9 MB / 3 files
Download size: 2.2 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("varbvs")

Format

Carbonetto, P., Gerard, D., & Stephens, M. (2023). varbvs: Large-Scale Bayesian Variable Selection Using Variational Methods (Version 2.6-10) [Computer software]. https://doi.org/10.32614/CRAN.package.varbvs

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 varbvs version 2.6-10 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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