Source: r-bioc-ihw Section: gnu-r Priority: optional Maintainer: Debian R Packages Maintainers Uploaders: Andreas Tille Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-bioc-ihw Vcs-Git: https://salsa.debian.org/r-pkg-team/r-bioc-ihw.git Homepage: https://bioconductor.org/packages/IHW/ Standards-Version: 4.6.1 Rules-Requires-Root: no Build-Depends: debhelper-compat (= 13), dh-r, r-base-dev, r-cran-slam, r-bioc-lpsymphony, r-cran-fdrtool, r-bioc-biocgenerics Testsuite: autopkgtest-pkg-r Package: r-bioc-ihw Architecture: all Depends: ${R:Depends}, ${misc:Depends} Recommends: ${R:Recommends} Suggests: ${R:Suggests} Description: 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.