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

[ Kaynak: 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.

r-bioc-pcamethods ile İlgili Diğer Paketler

• dep: libc6 (>= 2.4)

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

• dep: libgcc-s1 (>= 3.5)

  GCC support library

• dep: libstdc++6 (>= 11)

  GNU Standard C++ Library v3

• dep: r-api-4.0

  sanal paketi sağlayan r-base-core

• dep: r-api-bioc-3.16

  sanal paketi sağlayan 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

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Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
armel	920,1 kB	1.405,0 kB	[dosya listesi]