pBox {ReplicationSuccess}

Computes Box's tail probability

Description

pBox computes Box's tail probabilities based on the z-values of the original and the replication study, the corresponding variance ratio, and the significance level.

Usage

pBox(zo, zr, c, level = 0.05, alternative = c("two.sided", "one.sided"))

zBox(zo, zr, c, level = 0.05, alternative = c("two.sided", "one.sided"))

Arguments

zo

Numeric vector of z-values from the original studies.

zr

Numeric vector of z-values from replication studies.

c

Numeric vector of variance ratios of the original and replication effect estimates. This is usually the ratio of the sample size of the replication study to the sample size of the original study.

level

Numeric vector of significance levels. Default is 0.05.

alternative

Either "two.sided" (default) or "one.sided". Specifies whether two-sided or one-sided Box's tail probabilities are computed.

Details

pBox quantifies the conflict between the sceptical prior that would render the original study non-significant and the result from the replication study. If the original study was not significant at level level, the sceptical prior does not exist and pBox cannot be calculated.

Value

pBox returns Box's tail probabilities.

zBox returns the z-values used in pBox.

Author(s)

Leonhard Held

References

Box, G.E.P. (1980). Sampling and Bayes' inference in scientific modelling and robustness (with discussion). Journal of the Royal Statistical Society, Series A, 143, 383-430.

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, 431-448. doi:10.1111/rssa.12493

Examples

pBox(zo = p2z(0.01), zr = p2z(0.02), c = 2)
pBox(zo = p2z(0.02), zr = p2z(0.01), c = 1/2)
pBox(zo = p2z(0.02, alternative = "one.sided"),
     zr = p2z(0.01, alternative = "one.sided"),
     c = 1/2, alternative = "one.sided")