Penalized Meta-Analysis R package pema version 0.1.5 CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis) Conduct penalized meta-analysis, see Van Lissa, Van Erp, & Clapper (2023) <doi:10.31234/osf.io/6phs5>. In meta-analysis, there are often between-study differences. These can be coded as moderator variables, and controlled for using meta-regression. However, if the number of moderators is large relative to the number of studies, such an analysis may be overfit. Penalized meta-regression is useful in these cases, because it shrinks the regression slopes of irrelevant moderators towards zero. Software Depends: R (>= 3.4.0) Imports: methods, rstan (>= 2.26.0), Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstantools (>= 2.1.1), sn, shiny, ggplot2, cli LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.26.0) Suggests: rmarkdown, knitr, mice, testthat (>= 3.0.0), webexercises, bain, metaforest, metafor Caspar J van Lissa <c.j.vanlissa@tilburguniversity.edu> Comprehensive R Archive Network (CRAN) Caspar J van Lissa [aut, cre] (ORCID: <https://orcid.org/0000-0002-0808-5024>), Sara J van Erp [aut] GPL (>= 3) 2025-10-06 application/tgz https://CRAN.R-project.org/package=pema doi:10.32614/CRAN.package.pema