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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.
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Package details |
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| Author | Caspar J van Lissa [aut, cre] (<https://orcid.org/0000-0002-0808-5024>), Sara J van Erp [aut] |
| Maintainer | Caspar J van Lissa <c.j.vanlissa@tilburguniversity.edu> |
| License | GPL (>= 3) |
| Version | 0.1.3 |
| URL | https://github.com/cjvanlissa/pema |
| Package repository | View on CRAN |
| Installation |
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