ssdMeta {BayesRepDesign} | R Documentation |
This function computes the standard error required to achieve replication success with a certain probability and based on statistical significance of the fixed-effects meta-analytic effect estimate obtained from combining original and replication effect estimates.
ssdMeta(level, dprior, power, searchInt = c(0, 10))
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 |
searchInt |
Interval for numerical search over replication standard errors |
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
## specify design prior
to1 <- 2
so1 <- 1
dprior <- designPrior(to = to1, so = so1, tau = 0.25, sp = Inf)
ssdMeta(level = 0.025^2, dprior = dprior, power = 0.95)