PRP

Description

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) <arXiv:2105.03993>.

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Maintainer: ‘Yi Zhao <zhayi@umich.edu>’

The Description field contains
  <arXiv:2105.03993>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Maintainer: ‘Yi Zhao <zhayi@umich.edu>’

The Description field contains
  <arXiv:2105.03993>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

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Maintainer: ‘Yi Zhao <zhayi@umich.edu>’

The Description field contains
  <arXiv:2105.03993>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Maintainer: ‘Yi Zhao <zhayi@umich.edu>’

The Description field contains
  <arXiv:2105.03993>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Dependency Network

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Dec 13, 2021. Releases before tracking aren’t shown.