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klaR (version 0.6-2)
Classification and visualization
Description
Miscellaneous functions for classification and visualization developed at the Fakultaet Statistik, Technische Universitaet Dortmund
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Install
install.packages('klaR')
Monthly Downloads
12,565
Version
0.6-2
License
GPL-2
Maintainer
Uwe Ligges
Last Published
December 6th, 2009
Functions in klaR (0.6-2)
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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