R Observatory: Metrics for BayesianLasso version 0.4.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BayesianLasso

0.4.1

Bayesian Lasso Regression and Tools for the Lasso Distribution

0packages depend

2Kdownloads / year

44.0%test coverage

13/13checks pass

Overview

About

Maintained by Mohammad Javad DavoudabadiFirst published 2026-04-043 releasesCRAN page ↗GitHub ↗

Implements Bayesian Lasso regression using efficient Gibbs sampling algorithms, including modified versions of the Hans and Park Casella (PC) samplers. Includes functions for working with the Lasso distribution, such as its density, cumulative distribution, quantile, and random generation functions, along with moment calculations. Also includes a function to compute the Mills ratio. Designed for sparse linear models and suitable for high-dimensional regression problems.

Install

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

install.packages("BayesianLasso", 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("garthtarr/BayesianLasso")

Development version from garthtarr/BayesianLasso. 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-bayesianlasso

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-BayesianLasso

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-BayesianLasso

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

Health

CRAN checks

13OK

Slowest check: 5.8 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.48

44.0%

Coverage · measured lines

100%

Documentation · exports

1

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
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-04-05
4 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 265 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 96%
Return-value docs: 100%
References docs: 0%

Downloads

2K

CRAN downloads in the past year

Rank #7,943 · ~5/day · ~165/mo

Releases R versions

Daily download trend is not available in this view yet.

24730 days

1.1K90 days

2K1 year

Compare downloads with other packages →

Also on415 r2u37 autocran

Repository

GitHub ↗ garthtarr/bayesianlasso

1Stars

0Forks

11Open issues

0Open PRs

0Releases

68Commits

2Contributors

68 commits · Last activity 2026-04-08 · 0% stars, 30d

Stars over time

2025-09-13 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/garthtarr/bayesianlasso on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (1)

Rcpp

LinkingTo (4)

Rcpp RcppNumerical RcppArmadillo RcppEigen

Suggests (8)

knitr rmarkdown monomvn posterior rstan bayesreg testthatMASS

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (5)

Maintainer (1)

Mohammad Javad Davoudabadi

Author, Maintainer, Copyright holder

Authors (5)

Mohammad Javad Davoudabadi

Author, Maintainer, Copyright holder

Samuel Mueller

Author, Copyright holder

John Ormerod

Author, Copyright holder

Garth Tarr

Author, Copyright holder

Jonathon Tidswell

Author, Copyright holder

Copyright holders (5)

Mohammad Javad Davoudabadi

Author, Maintainer, Copyright holder

Samuel Mueller

Author, Copyright holder

John Ormerod

Author, Copyright holder

Garth Tarr

Author, Copyright holder

Jonathon Tidswell

Author, Copyright holder

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.4.1Latest
2026-04-04 · current release · diff ↗
unarchivedReturned to CRAN
2026-04-04
archivedRemoved from CRAN
2026-03-09
requires archived package 'RcppClock'
0.3.6
2025-10-29 · diff ↗
0.3.5
2025-07-28
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-04-04
Total releases: 3 / 1 yrs
License: GPL-3 OSI
Download size: 1.0 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesianLasso")

Format

Davoudabadi, M. J., Mueller, S., Ormerod, J., Tarr, G., & Tidswell, J. (2026). BayesianLasso: Bayesian Lasso Regression and Tools for the Lasso Distribution (Version 0.4.1) [Computer software]. https://doi.org/10.32614/CRAN.package.BayesianLasso

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 BayesianLasso version 0.4.1 [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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