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pema

Penalized Meta-Analysis

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.

Versions across snapshots

VersionRepositoryFileSize
0.1.5 rolling linux/jammy R-4.5 pema_0.1.5.tar.gz 3.4 MiB
0.1.5 rolling linux/noble R-4.5 pema_0.1.5.tar.gz 3.5 MiB
0.1.5 rolling source/ R- pema_0.1.5.tar.gz 1.0 MiB
0.1.5 latest linux/jammy R-4.5 pema_0.1.5.tar.gz 3.4 MiB
0.1.5 latest linux/noble R-4.5 pema_0.1.5.tar.gz 3.5 MiB
0.1.5 latest source/ R- pema_0.1.5.tar.gz 1.0 MiB
0.1.5 2026-04-26 source/ R- pema_0.1.5.tar.gz 1.0 MiB
0.1.5 2026-04-23 source/ R- pema_0.1.5.tar.gz 1.0 MiB
0.1.5 2026-04-09 windows/windows R-4.5 pema_0.1.5.zip 3.3 MiB
0.1.4 2025-04-20 source/ R- pema_0.1.4.tar.gz 1.2 MiB

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