套件：r-bioc-pcamethods（1.96.0-1） [debports]
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.
其他與 r-bioc-pcamethods 有關的套件
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- dep: libc6.1 (>= 2.11)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6.1-udeb
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- dep: libgcc-s1 (>= 3.0)
- GCC 支援函式庫
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- dep: libstdc++6 (>= 14)
- GNU Standard C++ Library v3
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-api-bioc-3.19
- 本虛擬套件由這些套件填實： r-bioc-biocgenerics
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- dep: r-bioc-biobase (>= 2.64.0)
- base functions for Bioconductor
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- dep: r-bioc-biocgenerics (>= 0.50.0)
- generic functions for Bioconductor
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- dep: r-cran-mass
- GNU R package of Venables and Ripley's MASS
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- dep: r-cran-rcpp (>= 0.11.3)
- GNU R package for Seamless R and C++ Integration
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- sug: r-cran-ggplot2
- implementation of the Grammar of Graphics
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- sug: r-cran-lattice
- GNU R package for 'Trellis' graphics
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- sug: r-cran-matrixstats
- GNU R methods that apply to rows and columns of a matrix