ssdSig {BayesRepDesign}

Sample size determination for replication success based on significance

Description

This function computes the standard error required to achieve replication success with a certain probability and based on statistical significance of the replication effect estimate.

Usage

ssdSig(level, dprior, power)

Arguments

level

Significance level for the replication effect estimate (one-sided and in the same direction as the original effect estimate)

dprior

Design prior object

power

Desired probability of replication success

Value

Returns an object of class "ssdRS". See ssd for details.

Author(s)

Samuel Pawel

References

Pawel, S., Consonni, G., and Held, L. (2022). Bayesian approaches to designing replication studies. arXiv preprint. doi:10.48550/arXiv.2211.02552

Examples

## specify design prior
to1 <- 2
so1 <- 0.5
dprior <- designPrior(to = to1, so = so1, tau = 0.1)
ssdSig(level = 0.025, dprior = dprior, power = 0.9)