Paket: r-bioc-multtest (2.38.0-1)

[ Kaynak: r-bioc-multtest  ]

Bioconductor resampling-based multiple hypothesis testing

Non-parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Several choices of bootstrap-based null distribution are implemented (centered, centered and scaled, quantile-transformed). Single-step and step-wise methods are available. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models as well as those based on correlation parameters) are included. When probing hypotheses with t-statistics, users may also select a potentially faster null distribution which is multivariate normal with mean zero and variance covariance matrix derived from the vector influence function. Results are reported in terms of adjusted p-values, confidence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments.

r-bioc-multtest ile İlgili Diğer Paketler

• dep: libc6 (>= 2.17)

  GNU C Library: Shared libraries
  ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb

• dep: r-api-3.5

  sanal paketi sağlayan r-base-core

• dep: r-base-core (>= 3.5.1-1)

  GNU R core of statistical computation and graphics system

• dep: r-bioc-biobase

  base functions for Bioconductor

• dep: r-bioc-biocgenerics

  generic functions for Bioconductor

• dep: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• dep: r-cran-survival

  GNU R package for survival analysis

• sug: r-cran-snow

  GNU R package for 'simple network of workstations'

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Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
arm64	817,8 kB	1.058,0 kB	[dosya listesi]