Package: pcaMethods
Version: 1.32.0
Author: Wolfram Stacklies, Henning Redestig, Kevin Wright
Maintainer: Wolfram Stacklies <wolfram.stacklies@gmail.com>
Title: A collection of PCA methods.
Depends: Biobase, MASS, pls, methods, Rcpp (>= 0.6.4)
SystemRequirements: Rcpp
Suggests: aroma.light
Description: 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 unique interface to the
        PCA results.  Initiated at the Max-Planck Institute for
        Molecular Plant Physiology, Golm, Germany. Now developed at
        CAS-MPG Partner Institute for Computational Biology (PICB)
        Shanghai, P.R. China and RIKEN Plant Science Center, Yokohama
        Japan.
License: GPL (>= 3)
biocViews: Bioinformatics
LazyLoad: Yes
Collate: 'BPCA_dostep.R' 'BPCA_initmodel.R' 'bpca.R' 'checkData.R'
        'derrorHierarchic.R' 'errorHierarchic.R' 'classes.R'
        'forkNlpcaNet.R' 'generic.R' 'kEstimateFast.R' 'kEstimate.R'
        'lineSearch.R' 'llsImpute.R' 'nipalsPca.R' 'nlpca.R'
        'optiAlgCgd.R' 'orth.R' 'pcaMethods-package.R' 'pca.R' 'ppca.R'
        'prep.R' 'repmat.R' 'robustPca.R' 'sortFeatures.R'
        'svdImpute.R' 'vector2matrices.R' 'xval.R'
Packaged: 2010-10-18 10:12:07 UTC; biocbuild2
Built: R 2.12.0; i386-pc-mingw32; 2010-10-18 16:04:39 UTC; windows
Archs: i386, x64
