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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.0 |
rolling linux/jammy R-4.5 | metaselection_0.3.0.tar.gz |
700.1 KiB |
0.3.0 |
rolling linux/noble R-4.5 | metaselection_0.3.0.tar.gz |
699.8 KiB |
0.3.0 |
rolling source/ R- | metaselection_0.3.0.tar.gz |
821.9 KiB |
0.3.0 |
latest linux/jammy R-4.5 | metaselection_0.3.0.tar.gz |
700.1 KiB |
0.3.0 |
latest linux/noble R-4.5 | metaselection_0.3.0.tar.gz |
699.8 KiB |
0.3.0 |
latest source/ R- | metaselection_0.3.0.tar.gz |
821.9 KiB |
0.3.0 |
2026-04-23 source/ R- | metaselection_0.3.0.tar.gz |
0 B |