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klaR (version 0.6-7)
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
0.6-7
License
GPL-2
Maintainer
Uwe Ligges
Last Published
August 28th, 2012
Functions in klaR (0.6-7)
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predict.NaiveBayes
Naive Bayes Classifier
predict.meclight
Prediction of Minimal Error Classification
distmirr
Internal function to convert a distance structure to a matrix
calc.trans
Calculation of transition probabilities
dkernel
Estimate density of a given kernel
predict.locpvs
predict method for locpvs objects
sknn
Simple k nearest Neighbours
tripoints
Barycentric plots
quadtrafo
Transforming of 4 dimensional values in a barycentric coordinate system.
locpvs
Pairwise variable selection for classification in local models
e.scal
Function to calculate e- or softmax scaled membership values
benchB3
Benchmarking on B3 data
errormatrix
Tabulation of prediction errors by classes
quadplot
Plotting of 4 dimensional membership representation simplex
triplot
Barycentric plots
pvs
Pairwise variable selection for classification
friedman.data
Friedman's classification benchmark data
nm
Nearest Mean Classification
trigrid
Barycentric plots
kmodes
K-Modes Clustering
plot.NaiveBayes
Naive Bayes Plot
centerlines
Lines from classborders to the center
plineplot
Plotting marginal posterior class probabilities
rda
Regularized Discriminant Analysis (RDA)
betascale
Scale membership values according to a beta scaling
loclda
Localized Linear Discriminant Analysis (LocLDA)
hmm.sop
Calculation of HMM Sum of Path
predict.pvs
predict method for pvs objects
drawparti
Plotting the 2-d partitions of classification methods
ucpm
Uschi's classification performance measures
predict.svmlight
Interface to SVMlight
rerange
Linear transformation of data
triperplines
Barycentric plots
B3
West German Business Cycles 1955-1994
shardsplot
Plotting Eight Direction Arranged Maps or Self-Organizing Maps
predict.rda
Regularized Discriminant Analysis (RDA)
tritrafo
Barycentric plots
b.scal
Calculation of beta scaling parameters
greedy.wilks
Stepwise forward variable selection for classification
meclight.default
Minimal Error Classification
.dmvnorm
Density of a Multivariate Normal Distribution
classscatter
Classification scatterplot matrix
TopoS
Computation of criterion S of a visualization
predict.sknn
Simple k Nearest Neighbours Classification
corclust
Function to identify groups of highly correlated variables for removing correlated features from the data for further analysis.
svmlight
Interface to SVMlight
NaiveBayes
Naive Bayes Classifier
predict.loclda
Localized Linear Discriminant Analysis (LocLDA)
partimat
Plotting the 2-d partitions of classification methods
triframe
Barycentric plots
stepclass
Stepwise variable selection for classification
countries
Socioeconomic data for the most populous countries.
EDAM
Computation of an Eight Direction Arranged Map