套件：r-bioc-ihw（1.34.0+dfsg-1）

[ 原始碼： r-bioc-ihw  ]

試製（Experimental）套件

警告：這個套件來自於 experimental 發行版。這表示它很有可能表現出不穩定或者出現 bug ，甚至是導致資料損失。請務必在使用之前查閱 changelog 以及其他潛在的文件。

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

  套件暫時不可用

• dep: r-api-bioc-3.20

  本虛擬套件由這些套件填實： r-bioc-biocgenerics

• dep: r-bioc-biocgenerics

  generic functions for Bioconductor

• dep: r-bioc-lpsymphony

  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

  standard styles for vignettes and other Bioconductor documents

• sug: r-bioc-deseq2

  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

下載 r-bioc-ihw

下載可用於所有硬體架構的

硬體架構	套件大小	安裝後大小	檔案
all	238。4 kB	340。0 kB	[檔案列表]