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

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).

AuthorRobin Girard
Date of publication2013-12-18 14:13:37
MaintainerRobin Girard <robin.girard@mines-paristech.fr>
LicenseGPL-2
Version0.3

View on CRAN

Functions

.EvaluateLogLikeRatio-methods Man page
.EvaluateLogLikeRatio,numeric,LinearRule-method Man page
.EvaluateLogLikeRatio,numeric,QuadraticRule-method Man page
getBinaryRule Man page
getBinaryRule-methods Man page
getBinaryRule,PartitionWithLLR-method Man page
getLogLikeRatio Man page
getLogLikeRatio,LinearRule-method Man page
getLogLikeRatio-methods Man page
getLogLikeRatio,QuadraticRule-method Man page
learnBinaryRule Man page
learnPartitionWithLLR Man page
LinearRule-class Man page
PartitionWithLLR-class Man page
plotClassifRule Man page
plotClassifRule,LinearRule-method Man page
plotClassifRule,PartitionWithLLR-method Man page
plotClassifRule,QuadraticRule-method Man page
predict,LinearRule-method Man page
predict-methods Man page
predict,PartitionWithLLR-method Man page
predict,QuadraticRule-method Man page
QuadraticRule-class Man page
show,LinearRule-method Man page
show,PartitionWithLLR-method Man page
show,QuadraticRule-method Man page
VHDClassification Man page
VHDClassification-package Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.