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klaR (version 0.3-4)
Classification and visualization
Description
Miscellaneous functions for classification and visualization developed at the Department of Statistics, University of Dortmund
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Install
install.packages('klaR')
Monthly Downloads
19,468
Version
0.3-4
License
GPL version 2 or newer
Maintainer
Uwe Ligges with contributions from Andrea Preusser
Last Published
February 23rd, 2026
Functions in klaR (0.3-4)
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predict.NaiveBayes
Naive Bayes Classifier
b.scal
Calculation of beta scaling parameters
e.scal
Function to calculate e- or softmax scaled membership values
centerlines
Lines from classborders to the center
quadtrafo
Transforming of 4 dimensional values in a barycentric coordinate system.
betascale
Scale membership values according to a beta scaling
tritrafo
Barycentric plots
predict.svmlight
Interface to SVMlight
triframe
Barycentric plots
svmlight
Interface to SVMlight
quadplot
Plotting of 4 dimensional membership representation simplex
EDAM
Computation of an Eight Direction Arranged Map
errormatrix
Tabulation of prediction errors by classes
friedman.data
Friedman's classification benchmark data
predict.sknn
Simple k Nearest Neighbours Classification
partimat
Plotting the 2-d partitions of classification methods
TopoS
Computation of criterion S of a visualization
trigrid
Barycentric plots
triperplines
Barycentric plots
countries
Socioeconomic data for the most populous countries.
stepclass
Stepwise variable selection for classification
rda
Regularized Discriminant Analysis (RDA)
smrplot
Plotting of membership representation simplex
B3
West German Business Cycles 1955-1994
.dmvnorm
Density of a Multivariate Normal Distribution
plineplot
Plotting marginal posterior class probabilities
plot.NaiveBayes
Naive Bayes Plot
triplot
Barycentric plots
distmirr
Internal function to convert a distance structure to a matrix
sknn
Simple k nearest Neighbours
classscatter
Classification scatterplot matrix
dkernel
Estimate density of a given kernel
tripoints
Barycentric plots
NaiveBayes
Naive Bayes Classifier
ucpm
Uschi's classification performance measures
calc.trans
Calculation of transition probabilities
predict.rda
Regularized Discriminant Analysis (RDA)
hmm.sop
Calculation of HMM Sum of Path
shardsplot
Plotting Eight Direction Arranged Maps or Self-Organizing Maps
drawparti
Plotting the 2-d partitions of classification methods