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) .


Installation

devtools::install_github("ArtemisZhao/PRP/R_src")

Real data

library(PRP)
## RP:P 
data("RPP_filtered")

## Cardiovascular disease impact on the COVID-19 mortality
data("mortality")

## Cardiovascular disease impact on the COVID-19 severity
data("severity")

Reference manual

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install.packages("PRP")

0.1.1 by Yi Zhao, 5 years ago


Browse source code at https://github.com/cran/PRP


Authors: Yi Zhao [aut, cre] , Xiaoquan Wen [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports mvtnorm, stats, graphics


See at CRAN