successRegionSig {BayesRepDesign}

Success region based on significance

Description

This function returns the success region for the (meta-analytic) replication effect estimate to achieve significance

Usage

successRegionSig(sr, to, tau = 0, nsites = 1, level)

Arguments

sr

Replication standard error

to

Original effect estimate

tau

Heterogeneity standard deviation used in the calculation of the meta-analytic replication effect estimate and its standard error. Defaults to 0 (fixed effects analysis)

nsites

nsites Number of sites, defaults to 1. The effect estimates from all sites are assumed to have the same standard error sr

level

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

Value

An object of class "successRegion". See successRegion 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

successRegionSig(sr = 0.05, to = 0.2, tau = 0.01, nsites = 3, level = 0.025)