Binary package “r-bioc-ihw” in ubuntu jammy

GNU R independent hypothesis weighting

 Independent 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.