sample.space | 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.

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