PRP: Bayesian Prior and Posterior Predictive Replication Assessment (original) (raw)
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 |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | PRP results |
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