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Showing results 1 to 10 of 361.


Function benchB3 [klaR v0.6-14]
keywords
classif
title
Benchmarking on B3 data
description
Evaluates the performance of a classification method on the B3 data.
Function betascale [klaR v0.6-14]
keywords
classif
title
Scale membership values according to a beta scaling
description
Performs the scaling for beta scaling learned by b.scal.
Function b.scal [klaR v0.6-14]
keywords
classif
title
Calculation of beta scaling parameters
description
Calculates the scaling parameter for betascale.
Function e.scal [klaR v0.6-14]
keywords
classif
title
Function to calculate e- or softmax scaled membership values
description
Calculates the e- or softmax scaled membership values of an argmax based classification rule.
Function meclight.default [klaR v0.6-14]
keywords
classif
title
Minimal Error Classification
description
Computer intensive method for linear dimension reduction that minimizes the classification error directly.
Function locpvs [klaR v0.6-14]
keywords
classif
title
Pairwise variable selection for classification in local models
description
Performs pairwise variable selection on subclasses.
Function predict.sknn [klaR v0.6-14]
keywords
classif
title
Simple k Nearest Neighbours Classification
description
Classifies new observations using the sknn learned by the sknn-function.
Function nm [klaR v0.6-14]
keywords
classif
title
Nearest Mean Classification
description
Function for nearest mean classification.
Function predict.pvs [klaR v0.6-14]
keywords
classif
title
predict method for pvs objects
description
Prediction of class membership and posterior probabilities using pairwise variable selection.
Function predict.meclight [klaR v0.6-14]
keywords
classif
title
Prediction of Minimal Error Classification
description
Classify multivariate observations in conjunction with meclight and lda.