Meta-Analytic Selection Models for Dependent Effect Sizes R package metaselection version 0.3.0 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>. Software 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 James E. Pustejovsky <jepusto@gmail.com> Comprehensive R Archive Network (CRAN) James E. Pustejovsky [aut, cre] (ORCID: <https://orcid.org/0000-0003-0591-9465>), Megha Joshi [aut] (ORCID: <https://orcid.org/0000-0001-7936-076X>), Martyna Citkowicz [aut] (ORCID: <https://orcid.org/0000-0002-2048-0625>) GPL (>= 3) 2026-08-31 application/tgz https://CRAN.R-project.org/package=metaselection doi:10.32614/CRAN.package.metaselection en-US