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.
|Author||Caspar J van Lissa [aut, cre] (<https://orcid.org/0000-0002-0808-5024>), Sara J van Erp [aut]|
|Maintainer||Caspar J van Lissa <email@example.com>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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