binseqtest (version 1.0.3)

binseqtest-package: Binary sequential tests

Description

Design and analyze binary sequential tests

Arguments

Author

Jenn Kirk, Michael P. Fay

Details

Package:binseqtest
Type:Package
Version:1.0.2
Date:2016-10-12
License:GPL (>=2)
LazyLoad:yes

The package creates designs for testing a series of binary responses sequentially. It allows checking after every response, or grouped sequential tests. Gives exact confidence intervals and p-values. Has an option for non-binding futility boundaries.

There are functions for creating the binary sequential boundaries or binary grouped sequential boundaries (see designOBF), creating tables of statistics (estimates, confidence intervals, and p-values) at specific stopping points in the boundary (see link{stopTable}), modifying the boundaries (see modify), and plotting the boundaries (plot-methods).

For details see Kirk and Fay (2014).

References

Kirk, JL, and Fay, MP (2014). An Introduction to Practical Sequential Inferences via Single Arm Binary Response Studies Using the binseqtest R Package. (to appear in American Statistician).

Examples

Run this code
# create an O'Brien-Fleming-type design, with 2.5 percent error on each side with max N of 50
B<-designOBF(50)
# plot it
plot(B)
# create a table for N (total samples) values between 20 and 25
stopTable(B,Nrange=c(20,25))
# modify the boundary if you missed looks at N=30 through 35
Bmod<-modify(B,missN=30:35)
plot(Bmod)

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