GNU R independent hypothesis weighting
DescriptionIndependent hypothesis weighting (IHW) is a multiple testing procedure that increases power compared to the method of Benjamini and Hochberg by assigning data-driven weights to each hypothesis. The input to IHW is a two-column table of p-values and covariates. The covariate can be any continuous-valued or categorical variable that is thought to be informative on the statistical properties of each hypothesis test, while it is independent of the p-value under the null hypothesis.
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Install this software package
If the package is available for the distribution you are currently using on your computer then install the software by clicking on…Install r-bioc-ihw