Encoding: UTF-8
Package: multiblock
Type: Package
Title: Multiblock Data Fusion in Statistics and Machine Learning
Version: 0.8.1
Date: 2021-12-28
Authors@R: 
    c(person(given = "Kristian Hovde",
             family = "Liland",
             role = c("aut", "cre"),
             email = "kristian.liland@nmbu.no",
             comment = c(ORCID = "0000-0001-6468-9423")),
      person(given = "Solve",
             family = "Sæbø",
             role = c("ctb")),
      person(given = "Stefan",
             family = "Schrunner",
             role = c("rev")))
Description: Functions and datasets to support Smilde, Næs and Liland (2021, ISBN: 978-1-119-60096-1) 
   "Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". 
   This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting 
   functions, several real data sets and six vignettes covering a range different applications.
License: GPL (>= 2)
URL: https://khliland.github.io/multiblock/,
        https://github.com/khliland/multiblock/
BugReports: https://github.com/khliland/multiblock/issues/
Depends: R (>= 3.5.0)
Imports: ade4, car, FactoMineR, geigen, knitr, lme4, MASS, mixlm,
        plotrix, pls, plsVarSel, pracma, progress, r.jive, Rcpp,
        RegularizedSCA, RGCCA, RSpectra, SSBtools
Suggests: rmarkdown
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-12-28 11:23:39 UTC; kristl
Author: Kristian Hovde Liland [aut, cre]
    (<https://orcid.org/0000-0001-6468-9423>),
  Solve Sæbø [ctb],
  Stefan Schrunner [rev]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>
Repository: CRAN
Date/Publication: 2022-01-04 11:50:02 UTC
Built: R 4.0.5; x86_64-apple-darwin17.0; 2022-01-25 08:06:56 UTC; unix
Archs: multiblock.so.dSYM
