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klaR (version 0.4-1)
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
14,583
Version
0.4-1
License
GPL version 2 or newer
Maintainer
Uwe Ligges with contributions from Andrea Preusser
Last Published
June 27th, 2005
Functions in klaR (0.4-1)
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predict.NaiveBayes
Naive Bayes Classifier
classscatter
Classification scatterplot matrix
countries
Socioeconomic data for the most populous countries.
friedman.data
Friedman's classification benchmark data
greedy.wilks
Stepwise forward variable selection for classification
plot.NaiveBayes
Naive Bayes Plot
stepclass
Stepwise variable selection for classification
dkernel
Estimate density of a given kernel
tripoints
Barycentric plots
errormatrix
Tabulation of prediction errors by classes
B3
West German Business Cycles 1955-1994
.dmvnorm
Density of a Multivariate Normal Distribution
meclight.default
Minimal Error Classification
rda
Regularized Discriminant Analysis (RDA)
trigrid
Barycentric plots
smrplot
Plotting of membership representation simplex
plineplot
Plotting marginal posterior class probabilities
sknn
Simple k nearest Neighbours
quadplot
Plotting of 4 dimensional membership representation simplex
predict.sknn
Simple k Nearest Neighbours Classification
predict.rda
Regularized Discriminant Analysis (RDA)
predict.svmlight
Interface to SVMlight
triperplines
Barycentric plots
predict.meclight
Prediction of Minimal Error Classification
shardsplot
Plotting Eight Direction Arranged Maps or Self-Organizing Maps
svmlight
Interface to SVMlight
EDAM
Computation of an Eight Direction Arranged Map
ucpm
Uschi's classification performance measures
benchB3
Benchmarking on B3 data
e.scal
Function to calculate e- or softmax scaled membership values
partimat
Plotting the 2-d partitions of classification methods
triplot
Barycentric plots
tritrafo
Barycentric plots
hmm.sop
Calculation of HMM Sum of Path
calc.trans
Calculation of transition probabilities
betascale
Scale membership values according to a beta scaling
triframe
Barycentric plots
drawparti
Plotting the 2-d partitions of classification methods
NaiveBayes
Naive Bayes Classifier
centerlines
Lines from classborders to the center
nm
Nearest Mean Classification
quadtrafo
Transforming of 4 dimensional values in a barycentric coordinate system.
b.scal
Calculation of beta scaling parameters
distmirr
Internal function to convert a distance structure to a matrix
TopoS
Computation of criterion S of a visualization