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.


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install.packages("pema")

0.1.0 by Caspar J van Lissa, a month ago


https://github.com/cjvanlissa/pema


Browse source code at https://github.com/cran/pema


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