LR.stats.SM: Calculates all possible LR limits.

In CLAST: Exact Confidence Limits after a Sequential Trial

Calculates all possible LR limits.

Description

Calculates all possible LR based limits for p from an object that contains all possible data sets from a group sequential trial.

Usage

LR.stats.SM(obj, alpha = 0.05, type = "upper")

Arguments

obj	a list with elements S, M and design, containing all possible values of total successes S and stopping stage M based on the given design. Typically this is the output of function sample.space or sample.space.2 and will also have elements Y and decision.
alpha	nominal coverage error of approximate LR based limits
type	character, either "upper" or "lower"

Value

a list with element "lims" as well as all elements of argument obj. The extra element contains the LR exact limit for each possible outcome.

Author(s)

Chris J. Lloyd

Examples

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.
LR.stats.SM(obj=all.samples)

CLAST documentation built on April 8, 2022, 9:06 a.m.