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).
|Date of publication||2013-12-18 14:13:37|
|Maintainer||Robin Girard <email@example.com>|
getBinaryRule: Getter set of binary rules (object PartitionWithLLR)
getBinaryRule-methods: ~~ Methods for Function getBinaryRule ~~
getLogLikeRatio: Get the log-likelihood ratio from a binary rule...
getLogLikeRatio-methods: ~~ Methods for Function getLogLikeRatio ~~
learnBinaryRule: Function to learn a binary classification rule
learnPartitionWithLLR: A function to learn a rule in case of 2 classes or more
LinearRule-class: Class "LinearRule" ~~~
PartitionWithLLR-class: Class "PartitionWithLLR" ~~~
plotClassifRule: A plot function for classification rules (binary or not,...
QuadraticRule-class: Class "QuadraticRule" ~~~
VHDClassification-package: Discrimination-Classification in very high dimension with...
z.EvaluateLogLikeRatio-methods: ~~ Methods for Function .EvaluateLogLikeRatio ~~