IHW

Independent Hypothesis Weighting

Bioconductor version: 3.23 · Package version: 1.40.0

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.

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("IHW")