CLAST - Exact Confidence Limits after a Sequential Trial
The user first provides design vectors n, a and b as well
as null (p0) and alternative (p1) benchmark values for the
probability of success. The key function "mv.plots.SM()"
calculates mean values of exact upper and lower limits based on
four different rank ordering methods. These plots form the
basis of selecting a rank ordering. The function "inference()"
calculates exact limits from a provided realisation and
ordering choice. For more information, see "Exact confidence
limits after a group sequential single arm binary trial" by
Lloyd, C.J. (2020), Statistics in Medicine, Volume 38,
2389-2399, <doi:10.1002/sim.8909>.
