Create a grid of candidate designs

Usage

createGrid(
  p0,
  p1,
  alpha = 0.1,
  beta = NA,
  power = ifelse(is.na(beta), 0.9, 1 - beta),
  nMin = NA,
  nMax = NA,
  mander = 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

power

an alternative to beta

nMin

the lower bound for the search grid. If NA, searchBounds is called to provide an appropriate value

nMax

the lower bound for the search grid. If NA, searchBounds is called to provide an appropriate value

mander

is a Mander & Thompson or a Simon's design required?

Value

a tibble. See Usage notes for a list and description of columns.

Examples

# Standard use for a Simon's 2-stage design
x <- createGrid(p0 = 0.1, p1 = 0.5, alpha = 0.1, beta = 0.1, mander = FALSE)
# Custom search bounds for a Mander & Thompson design
y <- createGrid(p0 = 0.1, p1 = 0.4, alpha = 0.1, beta = 0.1, nMin = 20, nMax = 30)