Pakiet: r-bioc-multtest (2.58.0-1)

[ Pakiet źródłowy: 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.

Inne pakiety związane z r-bioc-multtest

• dep: libc6 (>= 2.29)

  Biblioteka GNU C: biblioteki współdzielone
  również pakiet wirtualny udostępniany przez libc6-udeb

• dep: r-api-4.0

  pakiet wirtualny udostępniany przez r-base-core

• dep: r-api-bioc-3.18

  pakiet wirtualny udostępniany przez r-bioc-biocgenerics

• 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

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• sug: r-cran-snow

  GNU R package for 'simple network of workstations'

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