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klaR (version 0.5-4)

Classification and visualization

Description

Miscellaneous functions for classification and visualization developed at the Department of Statistics, University of Dortmund

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Version

Install

install.packages('klaR')

Monthly Downloads

12,565

Version

0.5-4

License

GPL version 2

Maintainer

Uwe Ligges with contributions from Andrea Preusser

Last Published

December 14th, 2023

Functions in klaR (0.5-4)

EDAM

Computation of an Eight Direction Arranged Map
b.scal

Calculation of beta scaling parameters
triperplines

Barycentric plots
triplot

Barycentric plots
distmirr

Internal function to convert a distance structure to a matrix
stepclass

Stepwise variable selection for classification
meclight.default

Minimal Error Classification
TopoS

Computation of criterion S of a visualization
plot.NaiveBayes

Naive Bayes Plot
nm

Nearest Mean Classification
predict.rda

Regularized Discriminant Analysis (RDA)
classscatter

Classification scatterplot matrix
hmm.sop

Calculation of HMM Sum of Path
drawparti

Plotting the 2-d partitions of classification methods
loclda

Localized Linear Discriminant Analysis (LocLDA)
plineplot

Plotting marginal posterior class probabilities
.dmvnorm

Density of a Multivariate Normal Distribution
e.scal

Function to calculate e- or softmax scaled membership values
tripoints

Barycentric plots
benchB3

Benchmarking on B3 data
predict.NaiveBayes

Naive Bayes Classifier
rda

Regularized Discriminant Analysis (RDA)
dkernel

Estimate density of a given kernel
trigrid

Barycentric plots
friedman.data

Friedman's classification benchmark data
svmlight

Interface to SVMlight
predict.sknn

Simple k Nearest Neighbours Classification
quadtrafo

Transforming of 4 dimensional values in a barycentric coordinate system.
B3

West German Business Cycles 1955-1994
shardsplot

Plotting Eight Direction Arranged Maps or Self-Organizing Maps
NaiveBayes

Naive Bayes Classifier
errormatrix

Tabulation of prediction errors by classes
predict.loclda

Localized Linear Discriminant Analysis (LocLDA)
partimat

Plotting the 2-d partitions of classification methods
quadplot

Plotting of 4 dimensional membership representation simplex
sknn

Simple k nearest Neighbours
predict.svmlight

Interface to SVMlight
predict.meclight

Prediction of Minimal Error Classification
tritrafo

Barycentric plots
ucpm

Uschi's classification performance measures
triframe

Barycentric plots
calc.trans

Calculation of transition probabilities
countries

Socioeconomic data for the most populous countries.
betascale

Scale membership values according to a beta scaling
centerlines

Lines from classborders to the center
greedy.wilks

Stepwise forward variable selection for classification