R Observatory: Metrics for beam version 2.0.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

beam

2.0.4Package record

Fast Bayesian Inference in Large Gaussian Graphical Models

0packages depend

3.3Kdownloads / year

94.6%test coverage

13/13flavors OK

Overview

About

Maintained by Gwenael G.R. LedayCRAN page ↗GitHub ↗

Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data. Leday and Richardson (2019), Biometrics, doi:10.1111/biom.13064.

Changes in 2.0.4

changed contact email address
remove c++14 system requirement in DESCRIPTION
pass spell checking
removed potential warnings of the optimization in .shrinkvars()
deprecated igraph::set.vertex.attribute() replaced by igraph::set_vertex_attr()

From NEWS.md in the release

Install

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

install.packages("beam", 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("gleday/beam")

Development version from gleday/beam. 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-beam

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-beam

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-beam

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: 3.8 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-05-10

Show 5 earlier changesHide 5 earlier changes

WARNING12 OK, 1 WARNING2026-05-09
OK12 OK2026-04-25
NOTE13 OK, 1 NOTE2026-04-22
ERROR12 OK, 1 NOTE, 1 ERROR2026-04-18
NOTE13 OK, 1 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0.4

READMEYes · 71 wordsVignettesNoNEWSYes · 100% structured · mentions 2.0.4Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 7includes a package overview page
Examples that run: 100%3 run in a plain check
Exported functions with examples: 67%
Documented parameters: 93%
Return-value docs: 100%
Help pages citing references: 71%

How these are measured

Downloads

3.3K

CRAN downloads in the past year

Rank #12,186 · ~9/day · ~277/mo

Releases R versions

Daily download trend is not available in this view yet.

32230 days

90790 days

3.3K1 year

Compare downloads with other packages →

Also on366 r2u42 autocran

How downloads are counted

Repository

gleday/beam ↗Account: gleday

0Stars

1Forks

0Open issues

0Open PRs

2Releases

76Commits

4Commit identities

statisticsgraphical-modelsbayesian-inferencenetwork-analysisempirical-bayeshigh-dimensional-inferencecovariance-matrix-estimationmachine-learning

76 commits · Last activity 2026-02-27

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 21

Forks over time

2025-03-14 · 12026-07-07 · 1

How these are measured

PracticesBeta

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

Checks run against github.com/gleday/beam on 2026-10-22.

Continuous integration (3)

GitHub ActionsR CMD check workflowAppVeyor

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

Coverage (1)

Coverage reporting (Codecov)

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing beam adds 19 packages (11 with compiled code, 26 MB of source tarballs). Heaviest: BH 14 MB, igraph 4.8 MB, Rcpp 1.8 MB.

Depends (1)

R >= 4.1.0

Imports (10)

statsmethodsgrDevicesgraphicsMatrixfdrtool igraph knitr Rcpp assertthat

LinkingTo (3)

Rcpp RcppArmadillo BH

Suggests (2)

covr testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Gwenael G.R. Leday

Maintainer since 1.0 (2018), Author

Ilaria Speranza

Author

Harry Gray

Contributor

Releases (7)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2025-04-11
2.0.4Latest
record
2025-04-11 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2024-01-12
email to the maintainer is undeliverable
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
2.0.2
record
2020-05-29 · diff ↗
R
R 4.0.0 released · 2020-04-24
2.0.1
record
2020-01-28 · diff ↗
2.0.0
record
2020-01-26 · diff ↗ ·
added 1 export
lightbeam
R
R 3.6.0 released · 2019-04-26
1.0.2
record
2018-05-03 · diff ↗
R
R 3.5.0 released · 2018-04-23

Show 3 earlier eventsHide 3 earlier events

1.0.1
record
2018-04-18 · diff ↗
1.0
record
2018-03-23
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-03-23
Total releases: 7 / 8 yrs
License: GPL (>= 2.0)
Minimum R: ≥ 4.1.0
Bundled data: 234 KB / 1 file
Download size: 260 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("beam")

Format

Leday, G. G. R., Gray, H., & Speranza, I. (2025). beam: Fast Bayesian Inference in Large Gaussian Graphical Models (Version 2.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.beam

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 beam version 2.0.4 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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