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
Authors@R: 
  c(person(given="Wolfram",
           family="Stacklies",
           role=c("aut")),
    person(given="Henning",
           family="Redestig",
           email="henning.red@gmail.com",
           comment=c(ORCID="0000-0003-2130-9288"),
           role=c("aut","cre")),
    person(given="Kevin",
           family="Wright",
           comment=c(ORCID="0000-0002-0617-8673"),
           role="aut"))
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: 2.2.0
URL: https://github.com/hredestig/pcamethods
BugReports: https://github.com/hredestig/pcamethods/issues
Encoding: UTF-8
Depends: Biobase, methods
Imports: BiocGenerics, Rcpp (>= 0.11.3), MASS
Suggests: matrixStats, lattice, ggplot2
Collate: 'derrorHierarchic.R' 'errorHierarchic.R' 'AllClasses.R'
        'AllGenerics.R' 'BPCA_dostep.R' 'BPCA_initmodel.R' 'bpca.R'
        'checkData.R' 'forkNlpcaNet.R' 'kEstimate.R' 'kEstimateFast.R'
        'lineSearch.R' 'llsImpute.R' 'methods-ExpressionSet.R'
        'methods-nniRes.R' 'methods-pcaRes.R' 'nipalsPca.R' 'nlpca.R'
        'optiAlgCgd.R' 'orth.R' 'pca.R' 'pcaMethods-package.R' 'ppca.R'
        'prep.R' 'repmat.R' 'robustPca.R' 'sortFeatures.R'
        'svdImpute.R' 'vector2matrices.R' 'xval.R'
Packaged: 2026-02-06 09:22:35 UTC; root
biocViews: Bayesian
RoxygenNote: 6.1.1
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 13:58:32 UTC
RemoteUrl: https://github.com/bioc/pcaMethods
RemoteRef: RELEASE_3_22
RemoteSha: 0956371559bff825740ecfa5761ee3dc15eb4b5d
NeedsCompilation: yes
Built: R 4.5.2; x86_64-w64-mingw32; 2026-02-06 09:23:57 UTC; windows
Archs: x64
