NPP: Normalized Power Prior Bayesian Analysis

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: 0.6.0
Depends: R (≥ 3.5.0)
Published: 2023-12-12
Author: Zifei Han, Qiang Zhang, Tianyu Bai Yuyan Duan 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

Documentation:

Reference manual: NPP.pdf

Downloads:

Package source: NPP_0.6.0.tar.gz
Windows binaries: r-devel: NPP_0.6.0.zip, r-release: NPP_0.6.0.zip, r-oldrel: NPP_0.6.0.zip
macOS binaries: r-release (arm64): NPP_0.6.0.tgz, r-oldrel (arm64): NPP_0.6.0.tgz, r-release (x86_64): NPP_0.6.0.tgz
Old sources: NPP archive

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