Package: SISIR
Type: Package
Title: Select Intervals Suited for Functional Regression
Version: 0.2.0
Date: 2022-10-27
Authors@R: c(
  person("Victor", "Picheny", , "victor.picheny@inra.fr", c("aut")),
  person("Remi", "Servien", , "remi.servien@inrae.fr", c("aut")),
  person("Nathalie", "Vialaneix", , "nathalie.vialaneix@inrae.fr", c("aut", "cre")))
Maintainer: Nathalie Vialaneix <nathalie.vialaneix@inrae.fr>
Description: Interval fusion and selection procedures for regression with 
             functional inputs. Methods include a semiparametric approach based
             on Sliced Inverse Regression (SIR), as described in 
             <doi:10.1007/s11222-018-9806-6> (standard ridge and sparse SIR are 
             also included in the package) and a random forest based approach.
Depends: R (>= 3.5.0), foreach, doParallel
Imports: Matrix, expm, RSpectra, glmnet, Boruta, CORElearn, dplyr,
        mixOmics, purrr, ranger, tidyr, tidyselect, adjclust, magrittr,
        rlang
License: GPL (>= 2)
RoxygenNote: 7.1.2
Encoding: UTF-8
Repository: CRAN
NeedsCompilation: no
Packaged: 2022-10-28 06:52:46 UTC; nathalie
Author: Victor Picheny [aut],
  Remi Servien [aut],
  Nathalie Vialaneix [aut, cre]
Date/Publication: 2022-10-28 07:25:06 UTC
