sglr-package | R Documentation |
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
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.
Balasubramanian Narasimhan with input from Tze Lai and Mei-Chiung Shih. Maintainer: Balasubramanian Narasimhan <naras@stat.stanford.edu>
“Sequential Generalized Likelihood Ratio Tests for Vaccine Safety Evaluation” doi: 10.1002/sim.4036.
library(sglr) result <- glrSearch(p=c(.5, .75), alpha=0.05, beta=0.10) ## print(result) ## large amounts of output possible! result[1:3]
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