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klaR (version 0.6-8)
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
0.6-8
License
GPL-2
Maintainer
Uwe Ligges
Last Published
March 27th, 2013
Functions in klaR (0.6-8)
Search all functions
greedy.wilks
Stepwise forward variable selection for classification
predict.rda
Regularized Discriminant Analysis (RDA)
plot.NaiveBayes
Naive Bayes Plot
kmodes
K-Modes Clustering
betascale
Scale membership values according to a beta scaling
meclight.default
Minimal Error Classification
trigrid
Barycentric plots
rda
Regularized Discriminant Analysis (RDA)
NaiveBayes
Naive Bayes Classifier
predict.NaiveBayes
Naive Bayes Classifier
ucpm
Uschi's classification performance measures
drawparti
Plotting the 2-d partitions of classification methods
dkernel
Estimate density of a given kernel
centerlines
Lines from classborders to the center
predict.loclda
Localized Linear Discriminant Analysis (LocLDA)
.dmvnorm
Density of a Multivariate Normal Distribution
distmirr
Internal function to convert a distance structure to a matrix
EDAM
Computation of an Eight Direction Arranged Map
errormatrix
Tabulation of prediction errors by classes
pvs
Pairwise variable selection for classification
nm
Nearest Mean Classification
TopoS
Computation of criterion S of a visualization
predict.svmlight
Interface to SVMlight
b.scal
Calculation of beta scaling parameters
friedman.data
Friedman's classification benchmark data
quadtrafo
Transforming of 4 dimensional values in a barycentric coordinate system.
calc.trans
Calculation of transition probabilities
predict.locpvs
predict method for locpvs objects
predict.pvs
predict method for pvs objects
triplot
Barycentric plots
tritrafo
Barycentric plots
predict.meclight
Prediction of Minimal Error Classification
classscatter
Classification scatterplot matrix
shardsplot
Plotting Eight Direction Arranged Maps or Self-Organizing Maps
svmlight
Interface to SVMlight
corclust
Function to identify groups of highly correlated variables for removing correlated features from the data for further analysis.
triframe
Barycentric plots
stepclass
Stepwise variable selection for classification
e.scal
Function to calculate e- or softmax scaled membership values
quadplot
Plotting of 4 dimensional membership representation simplex
benchB3
Benchmarking on B3 data
partimat
Plotting the 2-d partitions of classification methods
hmm.sop
Calculation of HMM Sum of Path
predict.sknn
Simple k Nearest Neighbours Classification
rerange
Linear transformation of data
countries
Socioeconomic data for the most populous countries.
plineplot
Plotting marginal posterior class probabilities
sknn
Simple k nearest Neighbours
triperplines
Barycentric plots
B3
West German Business Cycles 1955-1994
loclda
Localized Linear Discriminant Analysis (LocLDA)
locpvs
Pairwise variable selection for classification in local models
tripoints
Barycentric plots