Penalized Meta-Analysis
10 available
Convert an object to stanfit
Conduct Bayesian Regularized Meta-Analysis
Check Data for BRMA Workshop
Compute I2
Maximum a posteriori parameter estimate
pema: Conduct penalized meta-regression.
Plot posterior distributions for BRMA models
Sample from the Prior Distribution
Interactively Sample from the Prior Distribution
Simulates a meta-analytic dataset
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.