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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.

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conda 227.7 kB | noarch/r-npp-0.5.0-r43h142f84f_0.tar.bz2  1 year and 1 month ago 24 main
conda 157.9 kB | noarch/r-npp-0.4.0-r42h142f84f_0.tar.bz2  2 years and 7 months ago 56 main
conda 159.0 kB | noarch/r-npp-0.2.0-r36h6115d3f_0.tar.bz2  4 years and 11 months ago 121 main

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