pcaMethods

A 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 estimationn 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 unique interface to the PCA results. Developed at the Max-Planck Institute for Molecular Plant Physiology, Golm, Germany.

Author Wolfram Stacklies, Henning Redestig, Thanks to Kevin Wright for improvements to nipalsPca
Maintainer Wolfram Stacklies

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("pcaMethods")

Documentation

Package Downloads

Missing value imputation
Data with outliers
Introduction
Reference Manual
Package source pcaMethods_1.18.0.tar.gz
Windows binary pcaMethods_1.18.0.zip
MacOS X 10.4 (Tiger) binary pcaMethods_1.18.0.tgz
MacOS X 10.5 (Leopard) binary pcaMethods_1.18.0.tgz
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Details

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Depends
MASS , pls , methods
Imports
Suggests
System Requirements
License GPL version 2 (or later)
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