Posterior sampling in several commonly used distributions using normalized power prior as described in Duan, Ye and Smith (2006) <doi:10.1002/env.752> and Ibrahim et.al. (2015) <doi:10.1002/sim.6728>. Sampling of the power parameter is achieved via either independence Metropolis-Hastings or random walk Metropolis-Hastings based on transformation.
https://anaconda.org/r/r-npp/badges/version.svg
https://anaconda.org/r/r-npp/badges/latest_release_date.svg
https://anaconda.org/r/r-npp/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-npp/badges/platforms.svg
https://anaconda.org/r/r-npp/badges/license.svg
https://anaconda.org/r/r-npp/badges/downloads.svg