| porsEqu {BayesRepDesign} | R Documentation |
Probability of replication success based on effect size equivalence
Description
This function computes the probability to achieve replication success on equivalence of original and replication effect size. Effect size equivalence is defined by the confidence interval for the difference between the original and replication effect sizes falling within an equivalence region around zero defined by the specified margin.
Usage
porsEqu(level, dprior, margin, sr)
Arguments
level |
1 - confidence level of confidence interval for effect size difference |
dprior |
Design prior object |
margin |
The equivalence margin > 0 for the symmetric equivalence region around zero |
sr |
Replication standard error |
Value
The probability to achieve replication success
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
Anderson, S. F. and Maxwell, S. E. (2016). There's more than one way to conduct a replication study: Beyond statistical significance. Psychological Methods, 21(1), 1-12. doi:10.1037/met0000051
Examples
## specify design prior
to1 <- 2
so1 <- 0.05
dprior <- designPrior(to = to1, so = so1, tau = 0.1)
porsEqu(level = 0.1, dprior = dprior, margin = 0.3, sr = c(0.05, 0.03))