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]

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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]

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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]

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classif

title

Pairwise variable selection for classification in local models

description

Performs pairwise variable selection on subclasses.

Function predict.sknn [klaR v0.6-14]

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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]

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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.