Paketti: r-bioc-pcamethods (1.90.0-1)

[ Source: r-bioc-pcamethods  ]

BioConductor collection of PCA methods

Provides Bayesian PCA, Probabilistic PCA, Nipals PCA, Inverse Non-Linear PCA and the conventional SVD PCA. A cluster based method for missing value estimation is included for comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA on incomplete data as well as for accurate missing value estimation. A set of methods for printing and plotting the results is also provided. All PCA methods make use of the same data structure (pcaRes) to provide a common interface to the PCA results. Initiated at the Max-Planck Institute for Molecular Plant Physiology, Golm, Germany.

Muut pakettiin r-bioc-pcamethods liittyvät paketit

• dep: libc6 (>= 2.17)

  GNU-C-kirjasto: jaetut kirjastot
  myös näennäispaketti, jonka toteuttaa libc6-udeb

• dep: libgcc-s1 (>= 3.0)

  GCC:n apukirjasto

• dep: libstdc++6 (>= 11)

  GNU standardi C++ -kirjasto, versio 3

• dep: r-api-4.0

  näennäispaketti, jonka toteuttaa r-base-core

• dep: r-api-bioc-3.16

  näennäispaketti, jonka toteuttaa r-bioc-biocgenerics

• dep: r-base-core (>= 4.2.2.20221110-1)

  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-rcpp (>= 0.11.3)

  GNU R package for Seamless R and C++ Integration

• rec: r-cran-ggplot2

  implementation of the Grammar of Graphics

• rec: r-cran-lattice

  GNU R package for 'Trellis' graphics

• rec: r-cran-matrixstats

  GNU R methods that apply to rows and columns of a matrix

• rec: r-cran-vdiffr

  GNU R visual regression testing and graphical diffing

Imuroi r-bioc-pcamethods

Imurointi kaikille saataville arkkitehtuureille

Arkkitehtuuri	Paketin koko	Koko asennettuna	Tiedostot
ppc64el	924.2 kt	1,406.0 kt	[tiedostoluettelo]