R Observatory: Metrics for bayesMeanScale version 0.2.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bayesMeanScale

0.2.2

Bayesian Post-Estimation on the Mean Scale

0packages depend

3.3Kdownloads / year

68.6%test coverage

13/13checks pass

Overview

About

Maintained by David M. DalenbergFirst published 2024-04-238 releasesCRAN page ↗GitHub ↗

Computes Bayesian posterior distributions of predictions, marginal effects, and differences of marginal effects for various generalized linear models. Importantly, the posteriors are on the mean (response) scale, allowing for more natural interpretation than summaries on the link scale. Also, predictions and marginal effects of the count probabilities for Poisson and negative binomial models can be computed.

Install

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

install.packages("bayesMeanScale", 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("dalenbe2/bayesMeanScale")

Development version from dalenbe2/bayesMeanScale. 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-bayesmeanscale

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-bayesMeanScale

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-bayesMeanScale

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

Health

CRAN checks

13OK

Slowest check: 4.0 min · r-release-macos-x86_64

Code health

Yes

Tests · ratio 0.20

68.6%

Coverage · measured lines

100%

Documentation · exports

4

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
OK2026-05-28
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-05-21
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-29
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-03-19
12 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 22 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

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

Downloads

3.3K

CRAN downloads in the past year

Rank #12,161 · ~9/day · ~275/mo

Releases R versions

Daily download trend is not available in this view yet.

23530 days

81790 days

3.3K1 year

Compare downloads with other packages →

Also on132 r2u43 autocran

Repository

GitHub ↗ dalenbe2/bayesmeanscale

0Stars

0Forks

0Open issues

0Open PRs

8Releases

315Commits

1Contributors

License GPL-3.0 · 315 commits · Last activity 2026-05-07

Releases over time

2025-01-08 · 72026-07-07 · 8

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/dalenbe2/bayesmeanscale on 2026-08-16.

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (4)

bayestestR data.table magrittr (>= 2.0.3)posterior

LinkingTo (0)

none

Suggests (6)

flextable knitrMASSrmarkdown rstanarm testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

David M. Dalenberg

Author, Maintainer

Authors (1)

David M. Dalenberg

Author, Maintainer

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.2.2Latest
2026-03-25 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.2.1
2025-01-08 · diff ↗
0.2.0
2024-12-20 · diff ↗
0.1.4
2024-05-30 · diff ↗
0.1.3
2024-05-23 · diff ↗
0.1.2
2024-05-18 · diff ↗
0.1.1
2024-04-28 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.1.0
2024-04-23
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2024-04-23
Total releases: 8 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5.0
Download size: 316 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bayesMeanScale")

Format

Dalenberg, D. M. (2026). bayesMeanScale: Bayesian Post-Estimation on the Mean Scale (Version 0.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.bayesMeanScale

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 bayesMeanScale version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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