Package: r-bioc-pcamethods (1.96.0-1)

[ 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.

Other Packages Related to r-bioc-pcamethods

• dep: libc6 (>= 2.11)

  Libreria C GNU: librerie condivise
  also a virtual package provided by libc6-udeb

• dep: libgcc-s1 (>= 3.0)

  libreria di supporto a GCC

• dep: libstdc++6 (>= 14)

  libreria GNU Standard C++, versione 3

• dep: r-api-4.0

  virtual package provided by r-base-core

• dep: r-api-bioc-3.19

  virtual package provided by r-bioc-biocgenerics

• dep: r-bioc-biobase (>= 2.64.0)

  funzioni base per Bioconductor

• dep: r-bioc-biocgenerics (>= 0.50.0)

  funzioni generiche per Bioconductor

• dep: r-cran-mass

  pacchetto GNU R per MASS di Venables e Ripley

• dep: r-cran-rcpp (>= 0.11.3)

  pacchetto GNU R per integrazione perfetta tra R e C++

• sug: r-cran-ggplot2

  implementazione di Grammar of Graphics

• sug: r-cran-lattice

  pacchetto GNU R per grafici "Trellis"

• sug: r-cran-matrixstats

  metodi GNU R che si applicano a righe e colonne di una matrice

Download r-bioc-pcamethods

Download for all available architectures

Architecture	Package Size	Installed Size	Files
mips64el	944.6 kB	1,435.0 kB	[list of files]