R Observatory: Metrics for glmbayesCore version 0.5.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

glmbayesCore

0.5.3

Core C++ Sampling Engine for 'glmbayes'

0packages depend

92downloads / year

2.4%test coverage

11/11checks pass

Overview

About

Maintained by Kjell NygrenFirst published 2026-08-051 releasesCRAN page ↗GitHub ↗

Core C++ engine for 'glmbayes': envelope-based iid linear and generalized linear model samplers, prior-family routing, and optional 'OpenCL' acceleration. Sampling for supported non-conjugate models uses accept-reject methods based on likelihood subgradients as in Nygren and Nygren (2006) doi:10.1198/016214506000000357. Intended as a developer backend for the 'glmbayes' formula interface; end users should use 'glmbayes' for modelling with interfaces analogous to 'lm' and 'glm'. Mixed-model engines are planned for a future release.

Install

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

install.packages("glmbayesCore", 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("knygren/glmbayesCore")

Development version from knygren/glmbayesCore. Installs pak first if it is not already available.

# 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-glmbayesCore

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-glmbayesCore

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

Health

CRAN checks

11OK

Slowest check: 8.6 min · r-devel-linux-x86_64-debian-clang

Code health

Yes

Tests · ratio 0.00

2.4%

Coverage · measured lines

100%

Documentation · exports

7

Dependencies · direct

Check history

OK2026-08-06
8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 1,541 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 98%
Return-value docs: 100%
References docs: 57%

Downloads

92

CRAN downloads in the past year

Rank #24,661 · ~0/day · ~8/mo

glmbayesCore Releases R versions

Daily download trend is not available in this view yet.

9230 days

9290 days

921 year

Compare downloads with other packages →

Repository

GitHub ↗ knygren/glmbayescore

2Stars

0Forks

0Open issues

0Open PRs

0Releases

1,236Commits

7Contributors

1,236 commits · Last activity 2026-08-07

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/knygren/glmbayescore on 2026-08-09.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

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

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: claude on 2026-04-24

claudecursor

Most recent: cursor on 2026-05-26

Evidence

claude: on 2026-04-24 · evidence D
cursor: on 2026-05-26 · evidence B, D

How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies

18 external dependencies (excludes base and recommended)

Depends (2)

R >= 3.5.0MASS

Imports (6)

statsRcpp RcppParallel Rdpack opencltools nmathopencl

LinkingTo (4)

Rcpp RcppArmadillo RcppParallel opencltools

Suggests (9)

glmbayes coda bayesrules bayestestR LearnBayes testthat spelling knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (9)

Maintainer (1)

Kjell Nygren

Author, Maintainer

Authors (1)

Kjell Nygren

Author, Maintainer

Contributors (6)

The R Core Team

Contributor, Copyright holder

Simon Davies

Contributor

Robert Gentleman

Contributor, Copyright holder

Ross Ihaka

Contributor, Copyright holder

Martin Maechler

Contributor

Morten Welinder

Contributor, Copyright holder

Copyright holders (6)

The R Core Team

Contributor, Copyright holder

Robert Gentleman

Contributor, Copyright holder

Ross Ihaka

Contributor, Copyright holder

Morten Welinder

Contributor, Copyright holder

The Khronos Group Inc

Copyright holder

The R Foundation

Copyright holder

Package Timeline

1 release. R releases are shown for context.

0.5.3Latest
2026-08-05 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-05
Total releases: 1 / 1 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.5.0
Bundled data: 127 KB / 6 files
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("glmbayesCore")

Format

Nygren, K., The Khronos Group Inc, The R Core Team, The R Foundation, Davies, S., Gentleman, R., Ihaka, R., Maechler, M., & Welinder, M. (2026). glmbayesCore: Core C++ Sampling Engine for 'glmbayes' (Version 0.5.3) [Computer software]. https://doi.org/10.32614/CRAN.package.glmbayesCore

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 glmbayesCore version 0.5.3 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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