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metaselection  

Meta-Analytic Selection Models for Dependent Effect Sizes
View on CRAN: Click here


Download and install metaselection package within the R console
Install from CRAN:
install.packages("metaselection")

Install from Github:
library("remotes")
install_github("cran/metaselection")

Install by package version:
library("remotes")
install_version("metaselection", "0.3.0")



Attach the package and use:
library("metaselection")
Maintained by
James E. Pustejovsky
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-31
Latest Update: 2026-08-31
Description:
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>.
How to cite:
James E. Pustejovsky (2026). metaselection: Meta-Analytic Selection Models for Dependent Effect Sizes. R package version 0.3.0, https://cran.r-project.org/web/packages/metaselection. Accessed 02 Nov. 2026.
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