ssdBFs {BayesRepDesign} | R Documentation |
This function computes the standard error required to achieve replication success with a certain probability and based on the sceptical Bayes factor. The sceptical Bayes factor is assumed to be oriented so that values below one indicate replication success.
ssdBFs(
level,
dprior,
power,
searchInt = c(.Machine$double.eps^0.5, 2),
paradox = TRUE
)
level |
Threshold for the sceptical Bayes factor below which replication success is achieved |
dprior |
Design prior object |
power |
Desired probability of replication success |
searchInt |
Interval for numerical search over replication standard errors |
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 |
Returns an object of class "ssdRS"
. See ssd
for
details.
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, tau = 0.03)
ssdBFs(level = 1/10, dprior = dprior, power = 0.9)