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) <arXiv:2105.03993>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | PRP_0.1.1.tar.gz |
34.3 KiB |
0.1.1 |
rolling linux/noble R-4.5 | PRP_0.1.1.tar.gz |
34.2 KiB |
0.1.1 |
rolling source/ R- | PRP_0.1.1.tar.gz |
10.2 KiB |
0.1.1 |
latest linux/jammy R-4.5 | PRP_0.1.1.tar.gz |
34.3 KiB |
0.1.1 |
latest linux/noble R-4.5 | PRP_0.1.1.tar.gz |
34.2 KiB |
0.1.1 |
latest source/ R- | PRP_0.1.1.tar.gz |
10.2 KiB |
0.1.1 |
2026-04-26 source/ R- | PRP_0.1.1.tar.gz |
10.2 KiB |
0.1.1 |
2026-04-23 source/ R- | PRP_0.1.1.tar.gz |
10.2 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | PRP_0.1.1.zip |
37.7 KiB |
0.1.1 |
2025-04-20 source/ R- | PRP_0.1.1.tar.gz |
10.2 KiB |