Package: pcaMethods
Maintainer: Henning Redestig <henning.red@gmail.com>
License: GPL (>= 3)
Title: A collection of PCA methods.
LinkingTo: Rcpp
LazyLoad: Yes
Author: Wolfram Stacklies, Henning Redestig, Kevin Wright
SystemRequirements: Rcpp
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 common interface to the PCA results.
    Initiated at the Max-Planck Institute for Molecular Plant
    Physiology, Golm, Germany.
Version: 1.48.0
biocViews: Bioinformatics
Depends: Biobase, methods, Rcpp (>= 0.8.7)
Imports: BiocGenerics, MASS
Suggests: matrixStats, lattice
Collate: 'derrorHierarchic.R' 'errorHierarchic.R' 'AllClasses.R'
        'AllGenerics.R' 'methods-nniRes.R' 'methods-pcaRes.R'
        'methods-ExpressionSet.R' 'BPCA_dostep.R' 'BPCA_initmodel.R'
        'bpca.R' 'checkData.R' 'forkNlpcaNet.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: 2012-10-02 06:38:38 UTC; biocbuild
Built: R 2.15.1; i386-pc-mingw32; 2012-10-02 13:10:58 UTC; windows
Archs: i386, x64
