klaR v0.5-5

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Classification and visualization

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

Functions in klaR

Name Description
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)
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Details

Date 2007-09-14
SystemRequirements SVMlight
License GPL version 2
URL http://www.statistik.uni-dortmund.de
Packaged Fri Sep 14 15:32:29 2007; ligges

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