porsBFs {BayesRepDesign} | R Documentation |
This function computes the probability to achieve replication success based on the sceptical Bayes factor. The sceptical Bayes factor is assumed to be oriented so that values below one indicate replication success.
porsBFs(level, dprior, sr, paradox = TRUE)
level |
Threshold for the sceptical Bayes factor below which replication success is achieved |
dprior |
Design prior object |
sr |
Replication standard error |
paradox |
Should the probability of replication success be computed
allowing for the replication paradox (replication success when the effect
estimates from original and replication study have a different sign)?
Defaults to |
The probability to achieve replication success
Samuel Pawel
Pawel, S., Consonni, G., and Held, L. (2022). Bayesian approaches to designing replication studies. arXiv preprint. doi:10.48550/arXiv.2211.02552
Pawel, S. and Held, L. (2020). The sceptical Bayes factor for the assessement of replication success. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 84(3), 879-911. doi:10.1111/rssb.12491
## specify design prior
to1 <- 0.2
so1 <- 0.05
dprior <- designPrior(to = to1, so = so1)
porsBFs(level = 1/3, dprior = dprior, sr = 0.05)