adjusted_alpha {blindrecalc} | R Documentation |
This method returns an adjusted significance level that can be used such that the actual type I error rate is preserved.
adjusted_alpha(design, n1, nuisance, ...)
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 |
... |
Further optional arguments. |
The method is only vectorized in either nuisance
or n1
.
The method is implemented for the classes Student
,
ChiSquare
, and FarringtonManning
.
Check the class-specific documentation for further parameters that have
to be specified.
Value of the adjusted significance level for every nuisance parameter and every value of n1.
d <- setupStudent(alpha = .025, beta = .2, r = 1, delta = 0, delta_NI = 1.5, n_max = 848)
sigma <- c(2, 5.5, 9)
adjusted_alpha(design = d, n1 = 20, nuisance = sigma, tol = 1e-4, iters = 1e3)