R Observatory: Metrics for bayeslm version 2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bayeslm

2.0Package record

Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors

0packages depend

3.4Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jingyu HeCRAN 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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

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

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-04-22
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

NOTE3 OK, 3 NOTE2026-04-04

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0

READMEYes · 91 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 7includes a package overview page
Examples that run: 100%6 run in a plain check
Exported functions with examples: 100%
Documented parameters: 33%
Return-value docs: 20%
Help pages citing references: 29%

Vignettes (1)

Demo of the bayeslm package HTML

How these are measured

Downloads

3.4K

CRAN downloads in the past year

Rank #6,065 · ~9/day · ~287/mo

Releases R versions

Daily download trend is not available in this view yet.

54330 days

1.4K90 days

3.4K1 year

Compare downloads with other packages →

Also on411 r2u22 autocran

How downloads are counted

Repository

jingyuhe/bayeslm ↗Account: JingyuHe

10Stars

3Forks

0Open issues

0Open PRs

0Releases

42Commits

3Commit identities

42 commits · Last activity 2026-04-03 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 67%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-05-16 · 102026-07-07 · 10

How these are measured

PracticesBeta

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

Checks run against github.com/jingyuhe/bayeslm on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

CRAN release process (1)

cran-comments.md

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing bayeslm adds 4 packages (3 with compiled code, 3.6 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, RcppParallel 744 KB.

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.

How these are counted

Code & Tests

People & History

People (4)

Jingyu He

Author, Maintainer since 0.1.0 (2017)

P. Richard Hahn

Author

Hedibert Lopes

Author

Andrew Herren

Contributor · added in 1.0.1

Releases (10)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2026-04-03
2.0Latest
record
2026-04-03 · current release · diff ↗
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
record
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
record
2018-06-18 · diff ↗ ·
removed 1 export
summary.mcmc

added 2 exports
summary.MCMC, plot.MCMC
R
R 3.5.0 released · 2018-04-23

Show 8 earlier eventsHide 8 earlier events

0.7.0
record
2018-02-21 · diff ↗
0.6.0
record
2017-12-17 · diff ↗
0.5.0
record
2017-11-12 · diff ↗ ·
added 1 export
hs_gibbs
0.3.1
record
2017-10-17 · diff ↗
0.3.0
record
2017-09-27 · diff ↗ ·
removed 1 export
pattern:^[[:alpha:]]+

added 3 exports
bayeslm, summary.bayeslm.fit, summary.mcmc
0.2.0
record
2017-08-24 · diff ↗
0.1.0
record
2017-07-14
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-07-14
Total releases: 10 / 9 yrs
License: LGPL (>= 2) OSI
Minimum R: ≥ 2.10
Download size: 83 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bayeslm")

Format

He, J., Hahn, P. R., Herren, A., & Lopes, H. (2026). bayeslm: Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors (Version 2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.bayeslm

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 bayeslm version 2.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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