Package: HighProbability
Title: HighProbability estimates which alternative hypotheses have
        frequentist or Bayesian probabilities at least as great as a
        specified threshold, given a list of p-values.
Version: 1.0-2
Author: David R. Bickel
Description: HighProbability provides a simple, fast, reliable solution
        to the multiple testing problem. Given a vector of p-values or
        achieved significance levels computed using standard
        frequentist inference, HighProbability determines which ones
        are low enough that their alternative hypotheses can be
        considered highly probable. The p-value vector may be
        determined using existing R functions such as t.test,
        wilcox.test, cor.test, or sample. HighProbability can be used
        to detect differential gene expression and to solve other
        problems involving a large number of hypothesis tests.
Maintainer: David R. Bickel <bickel@prueba.info>
License: Mozilla Public License 1.1 (http://www.mozilla.org/MPL/)
Packaged: Wed May 5 11:22:18 2004; hornik
Built: R 2.2.0; ; 2005-10-14 13:04:29; windows
