maxbiostat/npowerPrioR: Run a(n approximate) normalised power prior analysis with Stan

This package implements a bisection-type algorithm which employs bridge sampling to obtain marginal likelihood estimates and then fit an "emulation" function to approximate the normalising constant `c(a0)`, predict it on a fine grid and then plug the resulting dictionary into a modified Stan program that will sample from the approximate posterior.

install.packages("remotes")
remotes::install_github("maxbiostat/npowerPrioR")