HighProbability (1.02)
HighProbability estimates which alternative hypotheses have frequentist or Bayesian probabilities at least as great as a specified threshold, given a list of pvalues..
http://cran.rproject.org/web/packages/HighProbability
HighProbability provides a simple, fast, reliable solution to the multiple testing problem. Given a vector of pvalues 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 pvalue 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 2016 years ago.
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