R Observatory: Metrics for bayeslm version 2.0

Balamuta, James Joseph

bayeslm

2.0

Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors

0packages depend

2.1Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Jingyu HeFirst published 2026-04-0410 releasesCRAN page ↗GitHub ↗

Efficient sampling for Gaussian linear regression with arbitrary priors, Hahn, He and Lopes (2018) doi:10.48550/arXiv.1806.05738.

Install

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

install.packages("bayeslm", 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("JingyuHe/bayeslm")

Development version from JingyuHe/bayeslm. 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-bayeslm

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-bayeslm

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-bayeslm

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

Health

CRAN checks

13OK

Slowest check: 6.4 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

7

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
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-04-04
3 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 91 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 33%
Return-value docs: 20%
References docs: 29%

Downloads

2.1K

CRAN downloads in the past year

Rank #5,838 · ~6/day · ~178/mo

Releases R versions

Daily download trend is not available in this view yet.

25530 days

1.5K90 days

2.1K1 year

Compare downloads with other packages →

Also on419 r2u5 autocran

Repository

GitHub ↗ jingyuhe/bayeslm

10Stars

3Forks

0Open issues

0Open PRs

0Releases

42Commits

3Contributors

42 commits · Last activity 2026-04-03

Stars over time

2025-05-16 · 102026-07-07 · 10

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/jingyuhe/bayeslm on 2026-08-03.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

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

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.10

Imports (7)

RcppstatsgraphicsgrDevicescodamethodsRcppParallel

LinkingTo (3)

Rcpp RcppArmadillo RcppParallel

Suggests (2)

rmarkdown knitr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)

Maintainer (1)

Jingyu He

Author, Maintainer

Authors (3)

Jingyu He

Author, Maintainer

P. Richard Hahn

Author

Hedibert Lopes

Author

Contributors (1)

Andrew Herren

Contributor · added in 1.0.1

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
2.0Latest
2026-04-04 · current release · diff ↗
unarchivedReturned to CRAN
2026-04-03
archivedRemoved from CRAN
2025-11-27
issues were not corrected despite reminders
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
unarchivedReturned to CRAN
2022-06-28
1.0.1
2022-06-27 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
archivedRemoved from CRAN
2020-10-02
check issues were not corrected in time
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
0.8.0
2018-06-18 · diff ↗
R
R 3.5.0 released · 2018-04-23

Show 8 earlier events

0.7.0
2018-02-21 · diff ↗
0.6.0
2017-12-17 · diff ↗
0.5.0
2017-11-12 · diff ↗
0.3.1
2017-10-17 · diff ↗
0.3.0
2017-09-27 · diff ↗
0.2.0
2017-08-24 · diff ↗
0.1.0
2017-07-14
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2026-04-04
Total releases: 10 / 1 yrs
License: LGPL (>= 2) OSI
Minimum R: ≥ 2.10
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("bayeslm")

CRAN DOI

https://doi.org/10.32614/CRAN.package.bayeslm

BibTeX, derived from DESCRIPTION

@Manual{bayeslm,
  title  = {bayeslm: Efficient Sampling for Gaussian Linear Regression with Arbitrary
Priors},
  author = {He, Jingyu and Hahn, P. Richard and Herren, Andrew and Lopes, Hedibert},
  year   = {2026},
  note   = {R package version 2.0},
  doi    = {10.32614/CRAN.package.bayeslm},
  url    = {https://CRAN.R-project.org/package=bayeslm}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorybayeslm,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {bayeslm} version 2.0},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/bayeslm},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bayeslm version 2.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/bayeslm

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for bayeslm version 2.0
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/bayeslm
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/bayeslm.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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