blindrecalc: n_dist – R documentation

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n_dist

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

n_dist(design, n1, nuisance, summary = TRUE, plot = FALSE, ...)

Arguments

`design`	object of class `TestStatistc` created by `setup`
`n1`	number of patients that are recruited before the sample size is recalculated
`nuisance`	nuisance parameter that is estimated at the interim analysis
`summary`	logical - 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?
`...`	Further optional arguments.

Details

The method is only vectorized in either nuisance or n1.

The method is implemented for the classes Student, ChiSquare, and FarringtonManning.

Value

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

Examples

d <- setupStudent(alpha = .025, beta = .2, r = 1, delta = 3.5, delta_NI = 0,
                  alternative = "greater", n_max = 156)
n_dist(d, n1 = 20, nuisance = 5.5, summary = TRUE, plot = FALSE, seed = 2020)

blindrecalc

Blinded Sample Size Recalculation

v0.1.2

MIT + file LICENSE

Authors

Lukas Baumann [aut], Maximilian Pilz [aut, cre], Institute of Medical Biometry and Informatics - University of Heidelberg [cph]

Initial release