Package: r-bioc-ihw
Version: 1.34.0+dfsg-2
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 340
Depends: r-api-4.0, r-api-bioc-3.20, r-cran-slam, r-bioc-lpsymphony, r-cran-fdrtool, r-bioc-biocgenerics
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-gridextra, r-cran-scales, r-bioc-deseq2, r-cran-testthat, r-cran-matrix, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Section: gnu-r
Priority: optional
Homepage: https://bioconductor.org/packages/IHW/
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.
