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.
Version: | 0.2.0 |
Depends: | R (≥ 3.5.0) |
Published: | 2019-08-21 |
Author: | Zifei Han, Tianyu Bai and Keying Ye |
Maintainer: | Zifei Han <hanzifei1 at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | NPP results |
Reference manual: | NPP.pdf |
Package source: | NPP_0.2.0.tar.gz |
Windows binaries: | r-devel: NPP_0.2.0.zip, r-release: NPP_0.2.0.zip, r-oldrel: NPP_0.2.0.zip |
macOS binaries: | r-release: NPP_0.2.0.tgz, r-oldrel: NPP_0.2.0.tgz |
Old sources: | NPP archive |
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