searchBounds {mtdesign}

Obtain default bounds for the construction of the search grid.

Description

The formula used is the continuity corrected Normal approximation from Fleiss et al (2003).

Usage

searchBounds(p0, p1, alpha = 0.05, beta = 0.2, twoSided = TRUE)

Arguments

p0

the response rate under the null hypothesis

p1

the response rate under the alternate hypothesis

alpha

the desired (one-sided) type 1 error rate

beta

the desired type 2 error rate

twoSided

two- or one-sided significance level?

Value

a list with three elements: "n" - the single stage sample size from Fleiss et al; "min" - the lower bound, 0.8*n; "max" - the upper bound, 2*n. floor() and ceiling() are applied as appropriate.