probFDA: Probabilistic Fisher Discriminant Analysis
Version 1.0.1

Probabilistic Fisher discriminant analysis (pFDA) is a probabilistic version of the popular and powerful Fisher linear discriminant analysis for dimensionality reduction and classification.

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AuthorCharles Bouveyron & Camille Brunet
Date of publication2015-05-11 23:56:13
MaintainerCharles Bouveyron <charles.bouveyron@parisdescartes.fr>
LicenseGPL-2
Version1.0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("probFDA")

Man pages

pfda: A Probabilistic Version of Fisher Linear Discriminant...
predict.pfda: Prediction method for 'pfda' class objects.
probFDA-package: A Probabilistic Version of Fisher Linear Discriminant...

Functions

pfda Man page Source code
pfda.bic Source code
pfda.fstep Source code
pfda.loglikelihood Source code
pfda.main Source code
pfda.mstep Source code
pfda.repmat Source code
pfda.trace Source code
predict.pfda Man page Source code
probFDA Man page
probFDA-package Man page

Files

NAMESPACE
R
R/pFDA-internal.R
R/predict.pfda.R
R/pfda.R
MD5
DESCRIPTION
man
man/probFDA-package.Rd
man/predict.pfda.Rd
man/pfda.Rd
probFDA documentation built on May 19, 2017, 9:02 a.m.