HighProbability (1.0-2)
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 over 12 years ago.
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