套件：r-bioc-ihw（1.32.0+dfsg-1）

[ 原始碼： r-bioc-ihw  ]

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.

其他與 r-bioc-ihw 有關的套件

• dep: r-api-4.0

  本虛擬套件由這些套件填實： r-base-core

• dep: r-api-bioc-3.19

  本虛擬套件由這些套件填實： r-bioc-biocgenerics

• dep: r-bioc-biocgenerics (>= 0.50.0)

  generic functions for Bioconductor

• dep: r-bioc-lpsymphony (>= 1.32.0)

  Symphony integer linear programming solver in GNU R

• dep: r-cran-fdrtool

  GNU R estimation of false discovery dates and higher criticism

• dep: r-cran-slam

  GNU R sparse lighweight arrays and matrices package

• sug: r-bioc-biocstyle (>= 2.32.1)

  standard styles for vignettes and other Bioconductor documents

• sug: r-bioc-deseq2 (>= 1.44.0)

  R package for RNA-Seq Differential Expression Analysis

• sug: r-cran-devtools

  Tools to Make Developing R Packages Easier

• sug: r-cran-dplyr

  GNU R grammar of data manipulation

• sug: r-cran-ggplot2

  implementation of the Grammar of Graphics

• sug: r-cran-gridextra

  GNU R package with extensions for the grid package

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-matrix

  GNU R package of classes for dense and sparse matrices

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-scales

  Scale functions for visualization

• sug: r-cran-testthat

  GNU R testsuite

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