klaR v0.6-2

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

Date 2009-12-05
SystemRequirements SVMlight
License GPL-2
URL http://www.statistik.tu-dortmund.de
Packaged 2009-12-05 19:18:59 UTC; ligges
Repository CRAN
Date/Publication 2009-12-06 10:08:23

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