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metaselection: Meta-Analytic Selection Models for Dependent Effect Sizes

Fits a flexible class of p-value selection models for meta-analysis and meta-regression models, providing standard errors and confidence intervals based on either cluster-robust variance estimators (i.e., sandwich estimators) or cluster-level bootstrapping to handle dependent effect size estimates, as described in Pustejovsky, Citkowicz, and Joshi (2025) <doi:10.31222/osf.io/qg5x6_v1> and Citkowicz, Pustejovsky, and Joshi (2026) <doi:10.31222/osf.io/wjpxk_v1>. Supported models include generalizations of the step-function selection model as proposed by Vevea and Hedges (1995) <doi:10.1007/BF02294384> and the beta-function selection model as proposed by Citkowicz and Vevea (2017) <doi:10.1037/met0000119>.

Version: 0.3.0
Depends: R (≥ 4.1.0)
Imports: Formula, stats, utils, MASS, mvtnorm, optimx, nleqslv, purrr, future.apply, progressr, rlang, ggplot2 (≥ 3.5.0), scales, Rdpack, simhelpers (≥ 0.3.1)
Suggests: testthat (≥ 3.0.0), future, metafor (≥ 4.8-0), metadat, clubSandwich, DescTools, knitr, rmarkdown, bookdown, dplyr
Published: 2026-08-31
DOI: 10.32614/CRAN.package.metaselection (may not be active yet)
Author: James E. Pustejovsky ORCID iD [aut, cre], Megha Joshi ORCID iD [aut], Martyna Citkowicz ORCID iD [aut]
Maintainer: James E. Pustejovsky <jepusto at gmail.com>
License: GPL (≥ 3)
URL: https://github.com/jepusto/metaselection
NeedsCompilation: no
Language: en-US
CRAN checks: metaselection results

Documentation:

Reference manual: metaselection.html , metaselection.pdf
Vignettes: P-Value Selection Models for Meta-Analysis with Dependent Effects (source, R code)

Downloads:

Package source: metaselection_0.3.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): metaselection_0.3.0.tgz, r-oldrel (arm64): metaselection_0.3.0.tgz, r-release (x86_64): metaselection_0.3.0.tgz, r-oldrel (x86_64): metaselection_0.3.0.tgz

Linking:

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