HighProbability (1.0-2)

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HighProbability estimates which alternative hypotheses have frequentist or Bayesian probabilities at least as great as a specified threshold, given a list of p-values..

http://cran.r-project.org/web/packages/HighProbability

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
Author(s): David R. Bickel

License: Mozilla Public License 1.1 (http://www.mozilla.org/MPL/)

Uses: Does not use any package

Released almost 14 years ago.


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