Source: r-bioc-ihw
Section: gnu-r
Priority: optional
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders: Andreas Tille <tille@debian.org>
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: 4.6.2
Rules-Requires-Root: no
Build-Depends: debhelper-compat (= 13),
               dh-r,
               r-base-dev,
               r-cran-slam,
               r-bioc-lpsymphony (>= 1.32.0),
               r-cran-fdrtool,
               r-bioc-biocgenerics (>= 0.50.0)
Testsuite: autopkgtest-pkg-r

Package: r-bioc-ihw
Architecture: all
Depends: ${R:Depends},
         ${misc:Depends},
         r-bioc-lpsymphony (>= 1.32.0),
         r-bioc-biocgenerics (>= 0.50.0)
Recommends: ${R:Recommends}
Suggests: ${R:Suggests},
          r-bioc-deseq2 (>= 1.44.0),
          r-bioc-biocstyle (>= 2.32.1)
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.
