VHDClassification (version 0.3)

Discrimination/Classification in very high dimension with linear and quadratic rules.

Description

This package provides an implementation of Linear discriminant analysis and quadratic discriminant analysis that works fine in very high dimension (when there are many more variables than observations).

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Version

Install

install.packages('VHDClassification')

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Version

0.3

License

GPL-2

Maintainer

Robin Girard

Last Published

December 18th, 2013

Functions in VHDClassification (0.3)

VHDClassification-package

Discrimination-Classification in very high dimension with linear and quadratic rules.

learnBinaryRule

Function to learn a binary classification rule

getBinaryRule-methods

~~ Methods for Function getBinaryRule ~~

learnPartitionWithLLR

A function to learn a rule in case of 2 classes or more

LinearRule-class

Class "LinearRule" ~~~

.EvaluateLogLikeRatio-methods

~~ Methods for Function .EvaluateLogLikeRatio ~~

QuadraticRule-class

Class "QuadraticRule" ~~~

getLogLikeRatio

Get the log-likelihood ratio from a binary rule (QuadraticRule or LinearRule)

plotClassifRule

A plot function for classification rules (binary or not, quadratic or linear)

getLogLikeRatio-methods

~~ Methods for Function getLogLikeRatio ~~

getBinaryRule

Getter set of binary rules (object PartitionWithLLR)

PartitionWithLLR-class

Class "PartitionWithLLR" ~~~