Paket: r-bioc-ihw (1.30.0+dfsg-1)

[ Quellcode: 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.

Andere Pakete mit Bezug zu r-bioc-ihw

• dep: r-api-4.0

  virtuelles Paket, bereitgestellt durch r-base-core

• dep: r-api-bioc-3.18

  virtuelles Paket, bereitgestellt durch r-bioc-biocgenerics

• dep: r-bioc-biocgenerics

  generic functions for Bioconductor

• dep: r-bioc-lpsymphony

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• dep: r-cran-fdrtool

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• dep: r-cran-slam

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• sug: r-bioc-biocstyle

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• sug: r-bioc-deseq2

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• sug: r-cran-devtools

  Tools to Make Developing R Packages Easier

• sug: r-cran-dplyr

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• sug: r-cran-ggplot2

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• sug: r-cran-gridextra

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• sug: r-cran-knitr

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• sug: r-cran-matrix

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• sug: r-cran-rmarkdown

  Konvertierung von R-Markdown-Dokumenten in verschiedene Formate

• sug: r-cran-scales

  Skalierungsfunktionen zur Visualisierung

• sug: r-cran-testthat

  GNU R testsuite

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