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Penalized Meta-Analysis

0packages depend
8.8Kdownloads / year
18.4%test coverage
13/13flavors OK

Overview

About

Conduct penalized meta-analysis, see Van Lissa, Van Erp, & Clapper (2023) doi:10.31234/osf.io/6phs5. In meta-analysis, there are often between-study differences. These can be coded as moderator variables, and controlled for using meta-regression. However, if the number of moderators is large relative to the number of studies, such an analysis may be overfit. Penalized meta-regression is useful in these cases, because it shrinks the regression slopes of irrelevant moderators towards zero.

Install

Health

CRAN checks
13OK
Slowest check: 41.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-29
  • ERROR12 OK, 1 ERROR2026-07-27
  • OK13 OK2026-06-08
Show 5 earlier changesHide 5 earlier changes
  • NOTE12 OK, 1 NOTE2026-06-07
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-04-22
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.5
READMEYes · 326 wordsVignettesYes · 2 · evaluation depends on the environmentNEWSNoCitation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
12includes a package overview page
Examples that run
89%8 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
79%
Return-value docs
100%
Help pages citing references
33%

Downloads

8.8K
CRAN downloads in the past year
Rank #6,564 · ~24/day · ~731/mo
Daily download trend is not available in this view yet.
48130 days
1.3K90 days
8.8K1 year
Compare downloads with other packages →
Also on391 r2u8 autocran147 c2d4u

Repository

0Stars
1Forks
0Open issues
0Open PRs
1Releases
205Commits
7Commit identities
205 commits · Last activity 2025-08-08
Responsiveness
How these are sampled
PRs merged (all time)
90%
Median days to close, 50 most recently updated closed issues
414
Median days to close, 50 most recently updated closed PRs
0
PracticesBeta

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

Checks run against github.com/cjvanlissa/pema on 2026-10-18.

Continuous integration (3)
GitHub ActionsR CMD check workflowTravis CI (config file)

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

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2025-08-08 · The repository has a site deploy workflow

pkgdown site last built 2025-08-08, before release 0.1.5 (2025-10-06)

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
22 external dependencies (excludes base and recommended)

Installing pema adds 74 packages (39 with compiled code, 67 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (1)
R >= 3.4.0
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.1.0 (2021)
Listed in earlier versions (2)
Caspar J
no longer listed · 0.1.0 to 0.1.5
Sara J
no longer listed · 0.1.0 to 0.1.5
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2025-10-06
  • 0.1.5Latest
    record
    2025-10-06 · current release · diff ↗
  • archivedRemoved from CRAN
    2025-08-25
    errors were not corrected in time
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.4
    record
    2025-03-30 · diff ↗ ·
    added 1 export
    check_workshop_data
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.3
    record
    2023-03-16 · diff ↗ ·
    added 1 export
    plot_sensitivity
  • 0.1.2
    record
    2022-07-17 · diff ↗
  • 0.1.1
    record
    2022-04-25 · diff ↗ ·
    added 3 exports
    I2, sample_prior, shiny_prior
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0
    record
    2021-12-15
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-12-15
Total releases
6 / 5 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.4.0
Bundled data
46 KB / 2 files
Download size
1.0 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("pema")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.31234/osf.io/6phs5.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for pema version 0.1.5 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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