pEdgington: Computes Edgington's p-value

In ReplicationSuccess: Design and Analysis of Replication Studies

Computes Edgington's p-value

Description

The combined p-value with Edgington's method is computed based on the one-sided p-values (or the corresponding the z-values) of the original and replication study, and the ratio of the weight of the replication study over the weight of the original study

Usage

pEdgington(zo = NULL, zr = NULL, po = NULL, pr = NULL, r = 1)

Arguments

zo	A vector of z-values from original studies.
zr	A vector of z-values from replication studies.
po	A vector of one-sided original p-values.
pr	A vector of one-sided replication p-values.
r	Numeric vector of ratios of replication to original weight

Details

Either zo and zr, or po and pr, must be specified.

Value

Edgington's p-value

Author(s)

Charlotte Micheloud, Leonhard Held, Samuel Pawel

References

Held, L., Pawel, S., Micheloud, C. (2024). The assessment of replicability using the sum of p-values. Royal Society Open Science. 11(8):11240149. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1098/rsos.240149")}

Examples

## examples from paper
pEdgington(po = 0.026, pr = 0.001)
pEdgington(po = 0.024, pr = 0.024)

## using z-values
pEdgington(zo = 1.91, zr = 1.95)
## using combination of z-value and p-value
pEdgington(zo = 1.91, pr = 0.024)

ReplicationSuccess documentation built on Oct. 30, 2024, 9:14 a.m.