Last data update: 2014.03.03
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FADA
Package: FADA
Type: Package
Title: Variable Selection for Supervised Classification in High
Dimension
Version: 1.3.2
Date: 2016-05-12
Author: Emeline Perthame (INRIA, Grenoble, France), Chloe Friguet
(Universite de Bretagne Sud, Vannes, France) and David Causeur (Agrocampus
Ouest, Rennes, France)
Maintainer: David Causeur <david.causeur@agrocampus-ouest.fr>
Description: The functions provided in the FADA (Factor Adjusted Discriminant Analysis) package aim at performing supervised classification of high-dimensional and correlated profiles. The procedure combines a decorrelation step based on a
factor modeling of the dependence among covariates and a classification method. The available methods are Lasso regularized logistic model
(see Friedman et al. (2010)), sparse linear discriminant analysis (see
Clemmensen et al. (2011)), shrinkage linear and diagonal discriminant
analysis (see M. Ahdesmaki et al. (2010)). More methods of classification can be used on the decorrelated data provided by the package FADA.
License: GPL (>= 2)
Depends: MASS, elasticnet
Imports: sparseLDA, sda, glmnet, mnormt, crossval, corpcor,
matrixStats, methods
NeedsCompilation: no
Packaged: 2016-05-20 13:46:22 UTC; Emeline
Repository: CRAN
Date/Publication: 2016-05-20 22:36:50
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'FADA' ...
** package 'FADA' successfully unpacked and MD5 sums checked
** R
** data
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'FADA'
finding HTML links ... done
FADA-package html
FADA html
Rd warning: /tmp/RtmpThv5xC/R.INSTALL6b437d0e4f74/FADA/man/FADA.Rd:84: missing file link 'sda-package'
data.test html
data.train html
decorrelate.test html
decorrelate.train html
** building package indices
** testing if installed package can be loaded
* DONE (FADA)
Making 'packages.html' ... done
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