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: 1.56.0
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: 2014-10-14 02:18:08 UTC; biocbuild
biocViews: Bayesian
Built: R 3.1.1; i386-w64-mingw32; 2014-10-14 11:47:23 UTC; windows
Archs: i386, x64
