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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.
| 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 |
| Reference manual: | NPP.pdf |
| 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, r-oldrel (x86_64): NPP_0.6.0.tgz |
| Old sources: | NPP archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.