n_dist {blindrecalc} | R Documentation |
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.
n_dist(design, n1, nuisance, summary = TRUE, plot = FALSE, ...)
design |
object of class |
n1 |
total 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. |
The method is only vectorized in either nuisance
or n1
.
The method is implemented for the classes Student
,
ChiSquare
, and FarringtonManning
.
Summary and/or plot of the sample size distribution for every nuisance parameter and every value of n1.
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)