DESCRIPTION

Package: IHW
Title: Independent Hypothesis Weighting
Version: 1.29.0
Authors@R: c(person("Nikos", "Ignatiadis", email = "nikos.ignatiadis01@gmail.com", role = c("aut", "cre")),
             person("Wolfgang", "Huber", role = "aut"))
Description: 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.
Depends:
    R (>= 3.3.0)
License: Artistic-2.0
LazyData: true
Imports:
    methods,
    slam,
    lpsymphony,
    fdrtool,
    BiocGenerics
Suggests:
    ggplot2,
    dplyr,
    gridExtra,
    scales,
    DESeq2,
    airway,
    testthat,
    Matrix,
    BiocStyle,
    knitr,
    rmarkdown,
    devtools
VignetteBuilder: knitr
biocViews: ImmunoOncology, 
    MultipleComparison,
    RNASeq
RoxygenNote: 7.1.1