sampleSizeReplicationSuccess {ReplicationSuccess} | R Documentation |
The relative sample size for replication success is computed based on the z-value of the original study, the power, and the design prior.
sampleSizeReplicationSuccess(zo, power, level = thresholdSceptical(level = 0.025, alternative = alternative, type = "golden"), designPrior = "conditional", alternative = "one.sided")
zo |
A vector of z-values from original studies. |
power |
The power to achieve replication success. |
level |
Replication success level. Default is the golden level (0.062 for one-sided level = 0.025). |
designPrior |
Either |
alternative |
Either |
The relative sample size for replication success. If larger than 1000
Inf
is returned.
Leonhard Held
Held, L. (2020). A new standard for the analysis and design of replication studies (with discussion). Journal of the Royal Statistical Society: Series A (Statistics in Society). 183(2):431 - 448. https://doi.org/10.1111/rssa.12493
pSceptical
, powerReplicationSuccess
, thresholdSceptical
sampleSizeReplicationSuccess(zo = p2z(0.005), power = 0.8) sampleSizeReplicationSuccess(zo = p2z(0.005), power = 0.8, designPrior = "predictive") thresNominal <- 0.025 sampleSizeReplicationSuccess(zo = p2z(0.005), power = 0.8, level = thresNominal, alternative = "one.sided") sampleSizeReplicationSuccess(zo = p2z(0.005), power = 0.8, level = thresNominal, alternative = "one.sided", designPrior = "predictive")