JT.rank.SM {CLAST} R Documentation

## Calculates Jennison & Turnbull ranking of sample space

### Description

Calculates the Jennison & Turnbull (1983) ranking of each possible outcome of the sample space generated from a sequential design.

### Usage

JT.rank.SM(obj)


### 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.

### Value

a list with element "lims" as well as all elements of argument obj. The extra element contains the JT rank of each possible the outcome.

Chris J. Lloyd

### References

Jennison C, Turnbull BW. Confidence intervals for a binomial parameter following a multistage test with application to MIL-STD 105D and medical trials. Technometrics. 1983(25), 49-58. doi: 10.1080/00401706.1983.10487819

### 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.
JT.rank.SM(obj=all.samples)
# Component "lims" contains the rank of each sequential binary
# outcome. The same rank is assigned to outcomes with the same
# values of (S,M).



[Package CLAST version 1.0.1 Index]