IHW : Independent Hypothesis Weighting

Package: IHW
Title: Independent Hypothesis Weighting
Version: 1.0.2
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, scales, DESeq, DESeq2, airway, testthat, Matrix,
BiocStyle, knitr, rmarkdown, devtools
VignetteBuilder: knitr
biocViews: MultipleComparison, RNASeq
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-16 05:58:07 UTC; biocbuild
Author: Nikos Ignatiadis [aut, cre],
Wolfgang Huber [aut]
Maintainer: Nikos Ignatiadis <nikos.ignatiadis01@gmail.com>