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klaR (version 0.6-12)

Classification and visualization

Description

Miscellaneous functions for classification and visualization developed at the Fakultaet Statistik, Technische Universitaet Dortmund

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Version

Install

install.packages('klaR')

Monthly Downloads

12,093

Version

0.6-12

License

GPL-2

Maintainer

Uwe Ligges

Last Published

August 6th, 2014

Functions in klaR (0.6-12)

countries

Socioeconomic data for the most populous countries.
TopoS

Computation of criterion S of a visualization
triperplines

Barycentric plots
svmlight

Interface to SVMlight
woe

Weights of evidence
shardsplot

Plotting Eight Direction Arranged Maps or Self-Organizing Maps
rerange

Linear transformation of data
NaiveBayes

Naive Bayes Classifier
triplot

Barycentric plots
hmm.sop

Calculation of HMM Sum of Path
plineplot

Plotting marginal posterior class probabilities
locpvs

Pairwise variable selection for classification in local models
trigrid

Barycentric plots
calc.trans

Calculation of transition probabilities
predict.sknn

Simple k Nearest Neighbours Classification
quadplot

Plotting of 4 dimensional membership representation simplex
centerlines

Lines from classborders to the center
classscatter

Classification scatterplot matrix
B3

West German Business Cycles 1955-1994
nm

Nearest Mean Classification
predict.svmlight

Interface to SVMlight
cond.index

Calculation of Condition Indices for Linear Regression
greedy.wilks

Stepwise forward variable selection for classification
meclight.default

Minimal Error Classification
betascale

Scale membership values according to a beta scaling
predict.meclight

Prediction of Minimal Error Classification
errormatrix

Tabulation of prediction errors by classes
predict.NaiveBayes

Naive Bayes Classifier
predict.loclda

Localized Linear Discriminant Analysis (LocLDA)
kmodes

K-Modes Clustering
plot.woe

Plot information values
triframe

Barycentric plots
loclda

Localized Linear Discriminant Analysis (LocLDA)
GermanCredit

Statlog German Credit
friedman.data

Friedman's classification benchmark data
plot.NaiveBayes

Naive Bayes Plot
pvs

Pairwise variable selection for classification
predict.locpvs

predict method for locpvs objects
predict.pvs

predict method for pvs objects
stepclass

Stepwise variable selection for classification
predict.rda

Regularized Discriminant Analysis (RDA)
.dmvnorm

Density of a Multivariate Normal Distribution
e.scal

Function to calculate e- or softmax scaled membership values
benchB3

Benchmarking on B3 data
b.scal

Calculation of beta scaling parameters
EDAM

Computation of an Eight Direction Arranged Map
corclust

Function to identify groups of highly correlated variables for removing correlated features from the data for further analysis.
quadtrafo

Transforming of 4 dimensional values in a barycentric coordinate system.
partimat

Plotting the 2-d partitions of classification methods
ucpm

Uschi's classification performance measures
sknn

Simple k nearest Neighbours
dkernel

Estimate density of a given kernel
rda

Regularized Discriminant Analysis (RDA)
drawparti

Plotting the 2-d partitions of classification methods
distmirr

Internal function to convert a distance structure to a matrix
tripoints

Barycentric plots
predict.woe

Weights of evidence
tritrafo

Barycentric plots