Last data update: 2014.03.03

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

2 images, 6 functions, 0 datasets
● Reverse Depends: 0

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