PRP: Bayesian Prior and Posterior Predictive Replication Assessment

Utilize the Bayesian prior and posterior predictive checking approach to provide a statistical assessment of replication success and failure. The package is based on the methods proposed in Zhao,Y., Wen X.(2021) <doi:10.48550/arXiv.2105.03993>.

Version:	0.1.1
Depends:	R (≥ 2.10)
Imports:	mvtnorm, stats, graphics
Published:	2021-12-13
DOI:	10.32614/CRAN.package.PRP
Author:	Yi Zhao [aut, cre], Xiaoquan Wen [aut]
Maintainer:	Yi Zhao <zhayi at umich.edu>
License:	GPL-2
NeedsCompilation:	no
Materials:	README
CRAN checks:	PRP results

Documentation:

Reference manual:

PRP.pdf

Downloads:

Package source:	PRP_0.1.1.tar.gz
Windows binaries:	r-devel: PRP_0.1.1.zip, r-release: PRP_0.1.1.zip, r-oldrel: PRP_0.1.1.zip
macOS binaries:	r-release (arm64): PRP_0.1.1.tgz, r-oldrel (arm64): PRP_0.1.1.tgz, r-release (x86_64): PRP_0.1.1.tgz, r-oldrel (x86_64): PRP_0.1.1.tgz

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