klaR: Classification and visualization
Version 0.6-12

Miscellaneous functions for classification and visualization developed at the Fakultaet Statistik, Technische Universitaet Dortmund, e.g. regularized discriminant analysis, sknn kernel-density naive Bayes, an interface to svmlight and stepclass wrapper variable selection for supervised classification, partimat visualization of classification rules and shardsplot of cluster results as well as kmodes clustering for categorical data, corclust variable clustering, variable extraction from different variable clustering models and weight of evidence preprocessing.

Browse man pages Browse package API and functions Browse package files

AuthorChristian Roever, Nils Raabe, Karsten Luebke, Uwe Ligges, Gero Szepannek, Marc Zentgraf
Date of publication2016-07-18 15:02:59
MaintainerUwe Ligges <ligges@statistik.tu-dortmund.de>
LicenseGPL-2
Version0.6-12
URL http://www.statistik.tu-dortmund.de
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("klaR", repos="http://R-Forge.R-project.org")

Man pages

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

Functions

.dmvnorm Man page
B3 Man page
EDAM Man page Source code
GermanCredit Man page
NaiveBayes Man page Source code
NaiveBayes.default Man page Source code
NaiveBayes.formula Man page Source code
TopoS Man page Source code
applywoes Source code
b.scal Man page Source code
benchB3 Man page Source code
betascale Man page Source code
calc.trans Man page Source code
centerlines Man page Source code
classscatter Man page Source code
computewoes Source code
cond.index Man page Source code
corclust Man page Source code
countries Man page
cvtree Source code
distmirr Man page Source code
dkernel Man page Source code
dmvnorm Source code
drawparti Man page Source code
e.scal Man page Source code
errormatrix Man page
friedman.data Man page Source code
greedy.wilks Man page Source code
greedy.wilks.default Man page Source code
greedy.wilks.formula Man page Source code
hmm.sop Man page Source code
kmodes Man page Source code
level_shardsplot Man page Source code
loclda Man page Source code
loclda.data.frame Man page Source code
loclda.default Man page Source code
loclda.formula Man page Source code
loclda.matrix Man page Source code
locpvs Man page Source code
meclight Man page Source code
meclight.data.frame Man page Source code
meclight.default Man page Source code
meclight.formula Man page Source code
meclight.matrix Man page Source code
membercheck Source code
nm Man page Source code
nm.data.frame Man page Source code
nm.default Man page Source code
nm.formula Man page Source code
nm.matrix Man page Source code
partimat Man page Source code
partimat.data.frame Man page Source code
partimat.default Man page Source code
partimat.formula Man page Source code
partimat.matrix Man page Source code
pfromp Source code
plineplot Man page Source code
plot.EDAM Man page Source code
plot.NaiveBayes Man page Source code
plot.corclust Source code
plot.rda Man page Source code
plot.stepclass Man page Source code
plot.woe Man page Source code
predict.NaiveBayes Man page Source code
predict.loclda Man page Source code
predict.locpvs Man page Source code
predict.meclight Man page Source code
predict.pvs Man page Source code
predict.rda Man page Source code
predict.sknn Man page Source code
predict.svmlight Man page Source code
predict.woe Man page Source code
print.greedy.wilks Man page Source code
print.kmodes Man page Source code
print.loclda Man page Source code
print.meclight Man page Source code
print.pvs Man page Source code
print.rda Man page Source code
print.stepclass Man page Source code
print.woe Man page Source code
pvs Man page Source code
pvs.default Man page Source code
pvs.formula Man page Source code
quadlines Man page Source code
quadplot Man page Source code
quadpoints Man page Source code
quadtrafo Man page Source code
rda Man page Source code
rda.default Man page Source code
rda.formula Man page Source code
rerange Man page Source code
shardsplot Man page Source code
sknn Man page Source code
sknn.data.frame Man page Source code
sknn.default Man page Source code
sknn.formula Man page Source code
sknn.matrix Man page Source code
stepclass Man page Source code
stepclass.default Man page Source code
stepclass.formula Man page Source code
svmlight Man page Source code
svmlight.data.frame Man page Source code
svmlight.default Man page Source code
svmlight.file Man page Source code
svmlight.formula Man page Source code
svmlight.matrix Man page Source code
triframe Man page Source code
trigrid Man page Source code
trilines Man page Source code
triperplines Man page Source code
triplot Man page Source code
tripoints Man page Source code
tritrafo Man page Source code
ucpm Man page Source code
woe Man page Source code
woe.default Man page Source code
woe.formula Man page Source code
xtractvars Source code

Files

DESCRIPTION
NAMESPACE
NEWS
R
R/EDAM.R
R/NaiveBayes.R
R/TopoS.R
R/benchB3.R
R/betaskal.R
R/calc.trans.R
R/centerlines.R
R/classscatter.R
R/cond.index.R
R/corclust.R
R/dkernel.R
R/e.scal.R
R/errormatrix.R
R/friedmandata.R
R/greedy.wilks.R
R/hmm.sop.R
R/kmodes.R
R/level_shardsplot.R
R/loclda.R
R/locpvs.R
R/meclight.R
R/membercheck.R
R/nm.R
R/partimat.R
R/plineplot.R
R/plot.NaiveBayes.R
R/plot.edam.R
R/predict.NaiveBayes.R
R/quadplot.R
R/rda.R
R/rerange.R
R/shardsplot.R
R/sknn.R
R/stepclass.R
R/svmlight.R
R/triplot.R
R/ucpm.R
R/woe.R
data
data/B3.RData
data/GermanCredit.RData
data/countries.RData
inst
inst/CITATION
man
man/B3.Rd
man/EDAM.Rd
man/GermanCredit.Rd
man/NaiveBayes.Rd
man/TopoS.Rd
man/b.scal.Rd
man/benchB3.Rd
man/betascale.Rd
man/calc.trans.Rd
man/centerlines.Rd
man/classscatter.Rd
man/cond.index.Rd
man/corclust.Rd
man/countries.Rd
man/distmirr.Rd
man/dkernel.Rd
man/dmvnorm.Rd
man/drawparti.Rd
man/e.scal.Rd
man/errormatrix.Rd
man/friedmandata.Rd
man/greedy.wilks.Rd
man/hmm.sop.Rd
man/kmodes.Rd
man/loclda.Rd
man/locpvs.Rd
man/meclight.Rd
man/nm.Rd
man/partimat.Rd
man/plineplot.Rd
man/plot.NaiveBayes.Rd
man/plot.woe.Rd
man/predict.NaiveBayes.Rd
man/predict.loclda.Rd
man/predict.locpvs.Rd
man/predict.meclight.Rd
man/predict.pvs.Rd
man/predict.rda.Rd
man/predict.sknn.Rd
man/predict.svmlight.Rd
man/predict.woe.Rd
man/pvs.Rd
man/quadplot.Rd
man/quadtrafo.Rd
man/rda.Rd
man/rerange.Rd
man/shardsplot.Rd
man/sknn.Rd
man/stepclass.Rd
man/svmlight.Rd
man/triframe.Rd
man/trigrid.Rd
man/triperplines.Rd
man/triplot.Rd
man/tripoints.Rd
man/tritrafo.Rd
man/ucpm.Rd
man/woe.Rd
tests
tests/EDAM.R
tests/EDAM.Rout.save
tests/EDAM.ps.save
tests/testklaR.ps.save
tests/testsklaR.R
tests/testsklaR.Rout.save
klaR documentation built on May 21, 2017, 12:25 a.m.