Package: mmpca
Title: Integrative Analysis of Several Related Data Matrices
Version: 2.0.1
Author: Jonatan Kallus [aut, cre]
Maintainer: Jonatan Kallus <kallus@chalmers.se>
Authors@R: person("Jonatan", "Kallus", email = "kallus@chalmers.se",
  role = c("aut", "cre"))
Description: A generalization of principal component analysis for integrative
  analysis. The method finds principal components that describe single matrices
  or that are common to several matrices. The solutions are sparse. Rank of
  solutions is automatically selected using cross validation. The method is
  described in Kallus, Johansson, Nelander and Jörnsten (2019)
  <arXiv:1911.04927>.
Depends: R (>= 3.3.0)
Imports: digest (>= 0.6.0), gsl (>= 1.9)
LinkingTo: Rcpp, RcppEigen
License: GPL-3
LazyData: true
NeedsCompilation: yes
Encoding: UTF-8
RoxygenNote: 7.0.2
Packaged: 2020-03-19 18:33:58 UTC; jonatan
Repository: CRAN
Date/Publication: 2020-03-20 12:40:03 UTC
Built: R 4.0.2; x86_64-w64-mingw32; 2020-08-02 11:32:16 UTC; windows
Archs: i386, x64
