pema: Penalized Meta-Analysis

Conduct penalized meta-analysis, see Van Lissa, Van Erp, & Clapper (2023) <doi:10.31234/>. 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.

Package details

AuthorCaspar J van Lissa [aut, cre] (<>), Sara J van Erp [aut]
MaintainerCaspar J van Lissa <>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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pema documentation built on March 31, 2023, 11:38 p.m.