klaR v0.5-3

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

Date 2007-05-12
SystemRequirements SVMlight
License GPL version 2
URL http://www.statistik.uni-dortmund.de
Packaged Sat May 12 21:00:13 2007; ligges

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