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 2.0.1; ; 2005-04-18 21:42:49; unix
