FADA: Variable Selection for Supervised Classification in High Dimension
Version 1.3.2

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.

AuthorEmeline Perthame (INRIA, Grenoble, France), Chloe Friguet (Universite de Bretagne Sud, Vannes, France) and David Causeur (Agrocampus Ouest, Rennes, France)
Date of publication2016-05-20 22:36:50
MaintainerDavid Causeur <david.causeur@agrocampus-ouest.fr>
LicenseGPL (>= 2)
Version1.3.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("FADA")

Getting started

Package overview

Popular man pages

data.test: Test dataset simulated with the same distribution as the...
data.train: Training data
decorrelate.test: Factor Adjusted Discriminant Analysis 2: Decorrelation of a...
decorrelate.train: Factor Adjusted Discriminant Analysis 1: Decorrelation of the...
FADA: Factor Adjusted Discriminant Analysis 3-4 : Supervised...
FADA-package: Variable selection for supervised classification in high...
See all...

All man pages Function index File listing

Man pages

data.test: Test dataset simulated with the same distribution as the...
data.train: Training data
decorrelate.test: Factor Adjusted Discriminant Analysis 2: Decorrelation of a...
decorrelate.train: Factor Adjusted Discriminant Analysis 1: Decorrelation of the...
FADA: Factor Adjusted Discriminant Analysis 3-4 : Supervised...
FADA-package: Variable selection for supervised classification in high...

Functions

Files

NAMESPACE
data
data/datalist
data/data.test.rda
data/data.train.rda
R
R/func.R
R/decorrelate.test.R
R/decorrelate.train.R
R/FADA.R
MD5
DESCRIPTION
man
man/FADA-package.Rd
man/decorrelate.test.Rd
man/data.test.Rd
man/FADA.Rd
man/data.train.Rd
man/decorrelate.train.Rd
FADA documentation built on May 19, 2017, 7:47 p.m.

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