n_dist.FarringtonManning: Distribution of the Sample Size

In blindrecalc: Blinded Sample Size Recalculation

Distribution of the Sample Size

Description

Calculates the distribution of the total sample sizes of designs with blinded sample size recalculation for different values of the nuisance parameter or of n1.

Usage

## S4 method for signature 'FarringtonManning'
n_dist(
  design,
  n1,
  nuisance,
  summary,
  plot,
  allocation = c("exact", "approximate"),
  ...
)

Arguments

design	Object of class FarringtonManning created by setupFarringtonManning.
n1	Either the sample size of the first stage (if recalculation = TRUE or the total sample size (if recalculation = FALSE).
nuisance	Value of the nuisance parameter in (0,1). For the Farrington-Manning test this is the overall response rate.
summary	Is a summary of the sample size distribution desired? Otherwise, a vector with sample sizes is returned.
plot	Should a plot of the sample size distribution be drawn?
allocation	Whether the allocation ratio should be preserved exactly (exact) or approximately (approximate).
...	Further optional arguments.

Details

Only sample sizes that occur with a probability of at least 0.01 are considered.

The method is only vectorized in either nuisance or n1.

Value

Summary and/or plot of the sample size distribution for each nuisance parameter and every value of n1.

Examples

d <- setupFarringtonManning(alpha = 0.025, beta = 0.2, r = 1,
                            delta = 0, delta_NI = 0.25)
n_dist(d, n1 = 30, nuisance = 0.2, summary = TRUE, plot = FALSE)

blindrecalc documentation built on Oct. 4, 2023, 5:06 p.m.