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[ Source: r-bioc-pcamethods  ]

Package: r-bioc-pcamethods (1.98.0-1)

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Experimental package

Warning: This package is from the experimental distribution. That means it is likely unstable or buggy, and it may even cause data loss. Please be sure to consult the changelog and other possible documentation before using it.

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.

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Download for all available architectures
Architecture Package Size Installed Size Files
amd64 1,362.6 kB1,752.0 kB [list of files]
arm64 1,359.9 kB1,780.0 kB [list of files]
mips64el 1,358.6 kB1,785.0 kB [list of files]
ppc64 (unofficial port) 1,362.4 kB1,782.0 kB [list of files]
ppc64el 1,363.1 kB1,780.0 kB [list of files]
riscv64 1,362.1 kB1,727.0 kB [list of files]
s390x 1,361.7 kB1,744.0 kB [list of files]