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The psychmeta package provides tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Currently, the package supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Please refer to the overview tutorial vignette for an introduction to psychmeta’s functions and workflows. psychmeta is hosted on both CRAN and GitHub. Documentation for psychmeta’s functions is available in the package’s PDF manual. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more.
Features
- Currently, psychmeta supports bare-bones, individual-correction, and artifact-distribution methods
- Works for meta-analyzing correlations and d values
- The main functions for conducting meta-analyses in psychmeta are ma_r for correlations and ma_d for d values
- The convert_es function can be used to convert a variety of effect sizes to either correlations or d values
- psychmeta can compute barebones meta-analyses
- Artifacts can be corrected individually or using artifact distributions
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