SigP: Commonly used alpha-spending functions

In esDesign: Adaptive Enrichment Designs with Sample Size Re-Estimation

Description

The SigP() is used to calculate the reduced significant level based on several widely used α-spending functions, such as the "Pocock", "Lan-DeMets", "O'Brein-Fleming" and "Power" functions.

Usage

SigP(alpha, Info, esFunction = "Pocock", gamma = 1)

Arguments

alpha	The overall Type I error rate
Info	The fraction of the observed information
esFunction	The specific α-spending function. For example, esFunction = "Pocock" for the Pocock method, esFunction = "LD" for the Lan-Demets method, esFunction = "OF" for the O'Brein-Fleming method, and esFunction = "Power" for the Power method.
gamma	The parameter used in the Power method. The default value is gamma = 1.

Value

The reduced significant level

Examples

alpha <- 0.05
Info <- 0.5
esFunction = "OF"
SigP(alpha = alpha, Info = Info, esFunction = esFunction)

Example output

[1] 8.857544e-05

esDesign documentation built on July 13, 2021, 9:06 a.m.