DESCRIPTION

Package: cpca
Type: Package
Title: Methods to perform Common Principal Component Analysis (CPCA)
Version: 0.2.0
Date: 2016-06-01
Authors@R: c(person("Andrey", "Ziyatdinov",
    email = "andrey.ziyatdinov@upc.edu", role = c("aut", "cre")),
    person("Samir", "Kanaan-Izquierdo", role = "aut"),
    person("Nickolay T.", "Trendafilov", role = "aut"),
    person("Alexandre", "Perera-Lluna", role = "aut"))
Maintainer: Andrey Ziyatdinov <andrey.ziyatdinov@upc.edu>
Description: This package contains methods to perform Common Principal
    Component Analysis (CPCA). The stepwise method by Trendafilov is implemented
    in the current version. Please see Trendafilov (2010), Stepwise estimation
    of common principal components, Computational Statistics & Data Analysis,
    54(12), 3446-3457, doi:10.1016/j.csda.2010.03.010.
License: GPL (>= 3)
URL: https://github.com/variani/cpca
LazyData: yes
LazyLoad: yes
Depends: 
    R (>= 3.0.1)
Imports: 
    methods, 
    Matrix,
    pls,
    plyr,
    ggplot2,
    Rcpp,
    RcppParallel
Suggests: 
    abind,
    testthat,
    knitr,
    rmarkdown,
    mclust,
    ElemStatLearn,
    gridExtra,
    pander,
    MASS
Collate: 
    'utils.lib.R'
    'RcppExports.R'
    'package.R'
    'classMethodsS3.R'    
    'classEigenPower.R'
    'classCPCAPower.R'
    'eigen.lib.R'
    'cpc.lib.R'
    'comprcomp.lib.R'
    'onUnload.R'
RoxygenNote: 5.0.1
LinkingTo: Rcpp, RcppEigen, RcppParallel
SystemRequirements: GNU make
VignetteBuilder: knitr