sample.space {CLAST} | R Documentation |
Creates all possible samples from a multi-stage group sequential trial with K>2. If K=2, use the function sample.space.2 instead.
sample.space(n, a, b)
n |
Design vector of planned sample sizes |
a |
Design vector of lower futility boundaries |
b |
Design vector of upper superiority boundaries |
list with components $Y, $M, $S, $decision and $design
Chris J. Lloyd
Lloyd, C.J. (2020) Exact confidence limits after a group sequential single arm binary trial. Statistics in Medicine, Volume 38, 2389-2399. doi: 10.1002/sim.8909
n=c(5,6,5,9)
a=c(2,4,5,12)
b=c(5,9,11,13)
# There are 364 possible outcomes from this design which are
# listed in a natural systematic order by function sample.space.
all.samples=sample.space(n,a,b)
attributes(all.samples)
# Y contains the 364 possible sequential binary outcomes;
# M contains how many stages before the decision;
# S contains the total number of success that produces the decision;
# decision the final binary test result of H0 or H1.