pema-package: pema: Conduct penalized meta-regression.
In pema: Penalized Meta-Analysis
pema-package R Documentation
pema: Conduct penalized meta-regression.
Description
Penalized meta-regression shrinks the regression slopes of
irrelevant moderators towards zero (Van Lissa & Van Erp, 2021).
Author(s)
Maintainer: Caspar J van Lissa c.j.vanlissa@tilburguniversity.edu (ORCID)
Authors:
Sara J van Erp
References
Van Lissa, C. J., van Erp, S., & Clapper, E. B. (2023).
Selecting relevant moderators with Bayesian regularized
meta-regression. Research Synthesis Methods.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.31234/osf.io/6phs5")}
Stan Development Team (NA). RStan: the R interface to Stan. R package version
2.26.2. https://mc-stan.org
See Also
Useful links:
pema documentation built on April 4, 2025, 1:36 a.m.
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| pema-package | R Documentation |
pema: Conduct penalized meta-regression.
Description
Penalized meta-regression shrinks the regression slopes of irrelevant moderators towards zero (Van Lissa & Van Erp, 2021).
Author(s)
Maintainer: Caspar J van Lissa c.j.vanlissa@tilburguniversity.edu (ORCID)
Authors:
Sara J van Erp
References
Van Lissa, C. J., van Erp, S., & Clapper, E. B. (2023). Selecting relevant moderators with Bayesian regularized meta-regression. Research Synthesis Methods. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.31234/osf.io/6phs5")}
Stan Development Team (NA). RStan: the R interface to Stan. R package version 2.26.2. https://mc-stan.org
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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