Penalized Meta-Analysis

Conduct penalized meta-analysis, see Van Lissa & Van Erp (2021). . 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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.0 by Caspar J van Lissa, a month ago

Browse source code at

Authors: Caspar J van Lissa [aut, cre] , Sara J van Erp [aut]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports methods, Rcpp, RcppParallel, rstantools, sn

Depends on rstan

Suggests testthat

Linking to BH, Rcpp, RcppEigen, RcppParallel, rstan, StanHeaders

System requirements: GNU make

See at CRAN