Package: ddsPLS
Version: 1.2.0
Date: 2023-05-12
Title: Data-Driven Sparse Partial Least Squares
Description: Allows to build Data-Driven Sparse Partial Least Squares models 
    with high-dimensional settings. 
    Number of components and regularization coefficients are automatically set. 
    It comes with visualization functions and uses 'Rcpp' functions for fast 
    computations and 'doParallel' to parallelize bootstrap operations. 
    An applet has been developed to apply this procedure.
    This is based on H Lorenzo, O Cloarec, R Thiebaut, J Saracco (2021) 
    <doi:10.1002/sam.11558>.
Authors@R: c(person("Hadrien","Lorenzo", role = c("aut", "cre"),
                     email = "hadrien.lorenzo.2015@gmail.com"),
             person("Misbah","Razzaq", role = "ctb",
                     email = "misbahch6@gmail.com"),
             person("Olivier","Cloarec", role = "aut",
                     email = "ocloarec@mac.com"),
             person("Jerome","Saracco", role = c("aut"),
                     email = "jerome.saracco@math.u-bordeaux1.fr"))
Maintainer: Hadrien Lorenzo <hadrien.lorenzo.2015@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: true
Depends: foreach, doParallel, shiny
Imports: Rcpp (>= 1.0.5)
LinkingTo: Rcpp, RcppEigen
Suggests: knitr,rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.2.0
NeedsCompilation: yes
Packaged: 2023-05-12 14:58:47 UTC; hlorenzo
Author: Hadrien Lorenzo [aut, cre],
  Misbah Razzaq [ctb],
  Olivier Cloarec [aut],
  Jerome Saracco [aut]
Repository: CRAN
Date/Publication: 2023-05-15 08:20:09 UTC
Built: R 4.3.0; x86_64-apple-darwin20; 2023-05-15 09:21:36 UTC; unix
Archs: ddsPLS.so.dSYM
