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klaR (version 0.5-3)
Classification and visualization
Description
Miscellaneous functions for classification and visualization developed at the Department of Statistics, University of Dortmund
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Install
install.packages('klaR')
Monthly Downloads
14,583
Version
0.5-3
License
GPL version 2
Maintainer
Uwe Ligges with contributions from Andrea Preusser
Last Published
May 12th, 2007
Functions in klaR (0.5-3)
Search functions
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)