sglr-package: A package for computing the boundaries for sequential...

In bnaras/sglr: Sequential Generalized Likelihood Ratio boundaries for pre-licensure vaccine trials

Description

This package is an implementation of the methodology of Shih, Lai, Heyse, and Chen (to appear in Statistics in Medicine) for computing Generalized Likelihood Ratio test boundaries for pre-licensure vaccine studies

Details

Package:	sglr
Type:	Package
Version:	0.05
Date:	2010-04-20
License:	GPL (version 2 or later)
LazyLoad:	yes

The package provides several functions. The function glrSearch computes boundaries for testing a given p_0 versus p_1 (specified as a two-dimensional vector) given a significance level α and a type II error β. The function computeBoundary computes the boundary in terms of a more understandable and usable quantity, such as the number of adverse events in a pre-licensure vaccine study for example. It takes as input a set of given boundaries for the GLR statistic. The third function is plotBoundary which also takes the same arguments as computeBoundary and produces a plot. The last two functions can make use of statistics computed previously for the problem, which can be specified as an argument; otherwise, the statistics are computed from scratch.

Author(s)

Balasubramanian Narasimhan with input from Tze Lai and Mei-Chiung Shih. Maintainer: Balasubramanian Narasimhan <[e-mail]>

References

See http://med.stanford.edu/biostatistics/vaccines.html

Examples

library(sglr)
result <- glrSearch(p=c(.5, .75), alpha=0.05, beta=0.10)
## print(result)  ## large amounts of output possible!
result[1:3]

bnaras/sglr documentation built on May 12, 2019, 11:27 p.m.