Function reference • ReplicationSuccess

All functions
`PPpSceptical()`	Compute project power of the sceptical p-value
`Qtest()`	Q-test to assess compatibility between original and replication effect estimate
`RProjects`	Data from four large-scale replication projects
`SSRP`	Data from the Social Sciences Replication Project
`T1EpSceptical()`	Compute overall type-I error rate of the sceptical p-value
`ci2se()` `ci2estimate()` `ci2z()` `ci2p()` `z2p()` `p2z()`	Convert between estimates, z-values, p-values, and confidence intervals
`effectSizeReplicationSuccess()`	Computes the minimum relative effect size to achieve replication success with the sceptical p-value
`effectSizeSignificance()`	Computes the minimum relative effect size to achieve significance of the replication study
`hMeanChiSq()` `hMeanChiSqMu()` `hMeanChiSqCI()`	harmonic mean chi-squared test
`levelSceptical()`	Computes the replication success level
`pBox()` `zBox()`	Computes Box's tail probability
`pEdgington()`	Computes Edgington's p-value
`pIntrinsic()`	Computes the p-value for intrinsic credibility
`pReplicate()`	Probability of replicating an effect by Killeen (2005)
`pSceptical()` `zSceptical()`	Computes the sceptical p-value and z-value
`powerEdgington()`	Computes the power for replication success with Edgington's method
`powerReplicationSuccess()`	Computes the power for replication success with the sceptical p-value
`powerSignificance()`	Computes the power for significance
`powerSignificanceInterim()`	Interim power of a replication study
`predictionInterval()`	Prediction interval for effect estimate of replication study
`protzko2020`	Data from Protzko et al. (2020)
`pvalueBound()`	Bound for the p-values entering the harmonic mean chi-squared test
`sampleSizeEdgington()`	Computes the required relative sample size to achieve replication success with Edgington's method based on power
`sampleSizeReplicationSuccess()`	Computes the required relative sample size to achieve replication success with the sceptical p-value
`sampleSizeSignificance()`	Computes the required relative sample size to achieve significance based on power
`thresholdIntrinsic()`	Computes the p-value threshold for intrinsic credibility

Reference

All functions