Package: ddsPLS
Version: 1.1.4
Date: 2020-03-02
Title: Data-Driven Sparse Partial Least Squares Robust to Missing
        Samples for Mono and Multi-Block Data Sets
Description: Allows to build Multi-Data-Driven Sparse Partial Least Squares models. Multi-blocks with 
    high-dimensional settings are particularly sensible to this. It comes with visualization
    functions and uses 'Rcpp' functions for fast computations and 'doParallel' to parallelize cross-validation.
    This is based on H Lorenzo, J Saracco, R Thiebaut (2019) <arXiv:1901.04380>.
    Many applications have been successfully realized.
    See <https://hadrienlorenzo.netlify.com/> for more information, documentation and examples.
Authors@R: c(person("Hadrien","Lorenzo", role = c("aut", "cre"),
                     email = "hadrien.lorenzo.2015@gmail.com"),
             person("Misbah","Razzaq", role = "ctb",
                     email = "misbah.razzaq@u-bordeaux.fr"),
             person("Jerome","Saracco", role = c("aut"),
                     email = "jerome.saracco@math.u-bordeaux1.fr"),
             person("Rodolphe","Thiebaut", role = c("aut"),
                     email = "rodolphe.thiebaut@u-bordeaux.fr"))
Maintainer: Hadrien Lorenzo <hadrien.lorenzo.2015@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: true
RoxygenNote: 6.1.1
Imports:
        RColorBrewer,MASS,graphics,stats,Rdpack,doParallel,foreach,parallel,corrplot,Rcpp
        (>= 0.12.18)
RdMacros: Rdpack
Suggests: knitr,rmarkdown,htmltools
VignetteBuilder: knitr
Depends: R (>= 2.10)
LinkingTo: Rcpp
URL: https://hadrienlorenzo.netlify.com/
NeedsCompilation: yes
Packaged: 2020-03-02 11:01:55 UTC; hl1
Author: Hadrien Lorenzo [aut, cre],
  Misbah Razzaq [ctb],
  Jerome Saracco [aut],
  Rodolphe Thiebaut [aut]
Repository: CRAN
Date/Publication: 2020-03-02 11:20:03 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 06:22:01 UTC; windows
Archs: i386, x64
