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
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

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