Classification and visualization

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Documentation for package ‘klaR’ version 0.5-7

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b.scal Calculation of beta scaling parameters
B3 West German Business Cycles 1955-1994
benchB3 Benchmarking on B3 data
betascale Scale membership values according to a beta scaling
calc.trans Calculation of transition probabilities
centerlines Lines from classborders to the center
classscatter Classification scatterplot matrix
corclust Function to identify groups of highly correlated variables for removing correlated features from the data for further analysis.
countries Socioeconomic data for the most populous countries.
dkernel Estimate density of a given kernel
drawparti Plotting the 2-d partitions of classification methods
e.scal Function to calculate e- or softmax scaled membership values
EDAM Computation of an Eight Direction Arranged Map
errormatrix Tabulation of prediction errors by classes
friedman.data Friedman's classification benchmark data
greedy.wilks Stepwise forward variable selection for classification
hmm.sop Calculation of HMM Sum of Path
loclda Localized Linear Discriminant Analysis (LocLDA)
locpvs Pairwise variable selection for classification in local models
meclight Minimal Error Classification
NaiveBayes Naive Bayes Classifier
nm Nearest Mean Classification
partimat Plotting the 2-d partitions of classification methods
plineplot Plotting marginal posterior class probabilities
plot.EDAM Plotting Eight Direction Arranged Maps or Self-Organizing Maps
plot.NaiveBayes Naive Bayes Plot
plot.rda Regularized Discriminant Analysis (RDA)
plot.stepclass Stepwise variable selection for classification
predict.loclda Localized Linear Discriminant Analysis (LocLDA)
predict.locpvs predict method for locpvs objects
predict.meclight Prediction of Minimal Error Classification
predict.NaiveBayes Naive Bayes Classifier
predict.pvs predict method for pvs objects
predict.rda Regularized Discriminant Analysis (RDA)
predict.sknn Simple k Nearest Neighbours Classification
predict.svmlight Interface to SVMlight
print.greedy.wilks Stepwise forward variable selection for classification
print.loclda Localized Linear Discriminant Analysis (LocLDA)
print.meclight Minimal Error Classification
print.pvs Pairwise variable selection for classification
print.rda Regularized Discriminant Analysis (RDA)
print.stepclass Stepwise variable selection for classification
pvs Pairwise variable selection for classification
quadplot Plotting of 4 dimensional membership representation simplex
rda Regularized Discriminant Analysis (RDA)
shardsplot Plotting Eight Direction Arranged Maps or Self-Organizing Maps
sknn Simple k nearest Neighbours
stepclass Stepwise variable selection for classification
svmlight Interface to SVMlight
triframe Barycentric plots
trigrid Barycentric plots
trilines Barycentric plots
triperplines Barycentric plots
triplot Barycentric plots
tripoints Barycentric plots
tritrafo Barycentric plots
ucpm Uschi's classification performance measures