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MAIVE

0.2.5

Meta Analysis Instrumental Variable Estimator

2packages depend
2.5Kdownloads / year
86.8%test coverage
13/13checks pass

Overview

About
Maintained by Petr CalaFirst published 2025-12-084 releasesCRAN page ↗GitHub ↗

Meta-analysis traditionally assigns more weight to studies with lower standard errors, assuming higher precision. However, in observational research, precision must be estimated and is vulnerable to manipulation, such as p-hacking, to achieve statistical significance. This can lead to spurious precision, invalidating inverse-variance weighting and bias-correction methods like funnel plots. Common methods for addressing publication bias, including selection models, often fail or exacerbate the problem. This package introduces an instrumental variable approach to limit bias caused by spurious precision in meta-analysis. Methods are described in 'Irsova et al.' (2025) doi:10.1038/s41467-025-63261-0.

Install

Health

CRAN checks
13OK
Slowest check: 1.4 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.65
86.8%
Coverage · measured lines
100%
Documentation · exports
3
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 544 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.5K
CRAN downloads in the past year
Rank #9,669 · ~7/day · ~210/mo
Daily download trend is not available in this view yet.
34430 days
98590 days
2.5K1 year
Compare downloads with other packages →
Also on92 r2u17 autocran

Repository

Repository
1Stars
1Forks
0Open issues
0Open PRs
1Releases
168Commits
3Contributors
168 commits · Last activity 2026-08-10

Stars over time

2025-07-14 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/meta-analysis-es/maive on 2026-08-23.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
Makefile
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
Imports (3)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
2direct
0indirect

Code & Tests

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (5)
Author, Maintainer
Package Timeline

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

  • 0.2.5Latest
    2026-08-20 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.4
    2026-02-04 · diff ↗
  • 0.1.11
    2025-12-18 · diff ↗
  • 0.1.10
    2025-12-08
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-12-08
Total releases
4 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Download size
66 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MAIVE")
Cala, P., Bom, P. R. D., Havranek, T., Irsova, Z., & Rachinger, H. (2026). MAIVE: Meta Analysis Instrumental Variable Estimator (Version 0.2.5) [Computer software]. https://doi.org/10.32614/CRAN.package.MAIVE

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MAIVE version 0.2.5 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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