klaR v0.4-1

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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
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
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Details

Date 2005-06-27
SystemRequirements SVMlight
License GPL version 2 or newer
URL http://www.statistik.uni-dortmund.de
Packaged Mon Jun 27 11:49:10 2005; ligges

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