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
 [aut, cre],
Megha Joshi [aut],
Martyna Citkowicz
[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 |
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