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klaR (version 0.5-5)
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
12,565
Version
0.5-5
License
GPL version 2
Maintainer
Uwe Ligges with contributions from Andrea Preusser
Last Published
December 14th, 2023
Functions in klaR (0.5-5)
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TopoS
Computation of criterion S of a visualization
classscatter
Classification scatterplot matrix
quadtrafo
Transforming of 4 dimensional values in a barycentric coordinate system.
betascale
Scale membership values according to a beta scaling
loclda
Localized Linear Discriminant Analysis (LocLDA)
shardsplot
Plotting Eight Direction Arranged Maps or Self-Organizing Maps
triframe
Barycentric plots
sknn
Simple k nearest Neighbours
predict.sknn
Simple k Nearest Neighbours Classification
benchB3
Benchmarking on B3 data
e.scal
Function to calculate e- or softmax scaled membership values
b.scal
Calculation of beta scaling parameters
B3
West German Business Cycles 1955-1994
triplot
Barycentric plots
triperplines
Barycentric plots
stepclass
Stepwise variable selection for classification
tripoints
Barycentric plots
dkernel
Estimate density of a given kernel
nm
Nearest Mean Classification
distmirr
Internal function to convert a distance structure to a matrix
partimat
Plotting the 2-d partitions of classification methods
countries
Socioeconomic data for the most populous countries.
drawparti
Plotting the 2-d partitions of classification methods
NaiveBayes
Naive Bayes Classifier
calc.trans
Calculation of transition probabilities
predict.svmlight
Interface to SVMlight
predict.loclda
Localized Linear Discriminant Analysis (LocLDA)
predict.rda
Regularized Discriminant Analysis (RDA)
trigrid
Barycentric plots
errormatrix
Tabulation of prediction errors by classes
predict.meclight
Prediction of Minimal Error Classification
centerlines
Lines from classborders to the center
hmm.sop
Calculation of HMM Sum of Path
greedy.wilks
Stepwise forward variable selection for classification
meclight.default
Minimal Error Classification
predict.NaiveBayes
Naive Bayes Classifier
plot.NaiveBayes
Naive Bayes Plot
tritrafo
Barycentric plots
plineplot
Plotting marginal posterior class probabilities
.dmvnorm
Density of a Multivariate Normal Distribution
friedman.data
Friedman's classification benchmark data
EDAM
Computation of an Eight Direction Arranged Map
quadplot
Plotting of 4 dimensional membership representation simplex
svmlight
Interface to SVMlight
ucpm
Uschi's classification performance measures
rda
Regularized Discriminant Analysis (RDA)