klaR v0.6-12

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by Uwe Ligges

Classification and visualization

Miscellaneous functions for classification and visualization developed at the Fakultaet Statistik, Technische Universitaet Dortmund

Functions in klaR

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

Date 2014-08-06
SystemRequirements SVMlight
License GPL-2
URL http://www.statistik.tu-dortmund.de
Packaged 2014-08-06 18:40:40 UTC; ligges
NeedsCompilation no
Repository CRAN
Date/Publication 2014-08-06 20:43:18

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