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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 |
| Reference manual: | PRP.pdf |
| 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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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.