Package: CorReg
Type: Package
Title: Linear Regression Based on Linear Structure Between Variables
Version: 1.2.17
Date: 2020-02-18
Authors@R: c(person("Clement", "Thery", role = c("aut", "cre"), email = "corregeous@correg.org"),
    person("Christophe", "Biernacki", role = "ths"),
    person("Gaetan", "Loridant", role = "ths"),
    person("Florian", "Watrin", role = "ctb"),
    person("Quentin", "Grimonprez", role = "ctb"),
    person("Vincent", "Kubicki", role = "ctb"),
    person("Samuel", "Blanck", role = "ctb"),
    person("Jeremie","Kellner", role = "ctb")
    )
Description: Linear regression based on a recursive structural equation model
    (explicit multiples correlations) found by a M.C.M.C.(Markov Chain Monte Carlo) algorithm. 
    It permits to face highly correlated variables. Variable selection is included (by lasso,
    elastic net, etc.). It also provides some graphical tools for basic statistics. 
    For more information about the method, read the PhD thesis of Clement Thery (2015) in the link below.
License: CeCILL
Copyright: ArcelorMittal
URL: http://www.correg.org, http://www.theses.fr/2015LIL10060
Imports: Rcpp(>= 0.11.0), lars(>= 1.2), elasticnet(>= 1.1), corrplot(>=
        0.73), Matrix(>= 1.1), rpart(>= 4.1-5), glmnet(>= 2.0-2),
        MASS(>= 7.3-30), mvtnorm(>= 0.9), mclust(>= 4.2), methods
LinkingTo: Rcpp, RcppEigen
Suggests: clere(>= 1.1.2), spikeslab(>= 1.1.5), parcor(>= 0.2), missMDA
        (>= 1.7.3), tuneR, knitr, rmarkdown, Rmixmod(>= 2.0.1)
VignetteBuilder: knitr
RoxygenNote: 7.0.2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-02-19 12:38:29 UTC; U038226
Author: Clement Thery [aut, cre],
  Christophe Biernacki [ths],
  Gaetan Loridant [ths],
  Florian Watrin [ctb],
  Quentin Grimonprez [ctb],
  Vincent Kubicki [ctb],
  Samuel Blanck [ctb],
  Jeremie Kellner [ctb]
Maintainer: Clement Thery <corregeous@correg.org>
Repository: CRAN
Date/Publication: 2020-02-20 15:00:05 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 05:59:55 UTC; windows
Archs: i386, x64
