pema: Penalized Meta-Analysis

Conduct penalized meta-analysis, see Van Lissa & Van Erp (2021). <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.

Package details

AuthorCaspar J van Lissa [aut, cre] (<https://orcid.org/0000-0002-0808-5024>), Sara J van Erp [aut]
MaintainerCaspar J van Lissa <c.j.vanlissa@uu.nl>
LicenseGPL (>= 3)
Version0.1.0
URL https://github.com/cjvanlissa/pema
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pema")

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pema documentation built on Dec. 15, 2021, 5:07 p.m.