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.
| Version: | 0.1.5 |
| Depends: | R (≥ 3.4.0) |
| Imports: | methods,rstan (≥ 2.26.0),Rcpp (≥ 0.12.0),RcppParallel (≥5.0.1),rstantools (≥ 2.1.1),sn,shiny,ggplot2,cli |
| LinkingTo: | BH (≥ 1.66.0),Rcpp (≥ 0.12.0),RcppEigen (≥ 0.3.3.3.0),RcppParallel (≥ 5.0.1),rstan (≥ 2.26.0),StanHeaders (≥2.26.0) |
| Suggests: | rmarkdown,knitr,mice,testthat (≥ 3.0.0),webexercises,bain,metaforest,metafor |
| Published: | 2025-10-06 |
| DOI: | 10.32614/CRAN.package.pema |
| Author: | Caspar J van Lissa [aut, cre], Sara J van Erp [aut] |
| Maintainer: | Caspar J van Lissa <c.j.vanlissa at tilburguniversity.edu> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/cjvanlissa/pema,https://cjvanlissa.github.io/pema/ |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Citation: | pema citation info |
| Materials: | README |
| In views: | MetaAnalysis |
| CRAN checks: | pema results |
Documentation:
| Reference manual: | pema.html ,pema.pdf |
| Vignettes: | meta-analysis_tutorial (source,R code) Conducting a Bayesian Regularized Meta-analysis (source,R code) |
Downloads:
| Package source: | pema_0.1.5.tar.gz |
| Windows binaries: | r-devel:pema_0.1.5.zip, r-release:pema_0.1.5.zip, r-oldrel:pema_0.1.5.zip |
| macOS binaries: | r-release (arm64):pema_0.1.5.tgz, r-oldrel (arm64):pema_0.1.5.tgz, r-release (x86_64):pema_0.1.5.tgz, r-oldrel (x86_64):pema_0.1.5.tgz |
| Old sources: | pema archive |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=pemato link to this page.