klaR: Classification and visualization

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

Install the latest version of this package by entering the following in R:
AuthorChristian Roever, Nils Raabe, Karsten Luebke, Uwe Ligges, Gero Szepannek, Marc Zentgraf
Date of publication2014-08-06 20:43:18
MaintainerUwe Ligges <ligges@statistik.tu-dortmund.de>

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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


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


R/benchB3.R R/greedy.wilks.R R/EDAM.R R/errormatrix.R R/TopoS.R R/plineplot.R R/partimat.R R/plot.NaiveBayes.R R/plot.edam.R R/rerange.R R/predict.NaiveBayes.R R/membercheck.R R/corclust.R R/ucpm.R R/kmodes.R R/woe.R R/svmlight.R R/quadplot.R R/betaskal.R R/shardsplot.R R/nm.R R/locpvs.R R/hmm.sop.R R/level_shardsplot.R R/NaiveBayes.R R/calc.trans.R R/stepclass.R R/e.scal.R R/friedmandata.R R/meclight.R R/triplot.R R/loclda.R R/cond.index.R R/centerlines.R R/sknn.R R/dkernel.R R/classscatter.R R/rda.R
man/rda.Rd man/pvs.Rd man/ucpm.Rd man/hmm.sop.Rd man/centerlines.Rd man/plot.woe.Rd man/distmirr.Rd man/classscatter.Rd man/dkernel.Rd man/predict.locpvs.Rd man/sknn.Rd man/meclight.Rd man/tritrafo.Rd man/B3.Rd man/shardsplot.Rd man/quadplot.Rd man/predict.rda.Rd man/kmodes.Rd man/predict.loclda.Rd man/loclda.Rd man/tripoints.Rd man/TopoS.Rd man/triperplines.Rd man/nm.Rd man/trigrid.Rd man/predict.NaiveBayes.Rd man/e.scal.Rd man/predict.meclight.Rd man/corclust.Rd man/countries.Rd man/predict.sknn.Rd man/plot.NaiveBayes.Rd man/partimat.Rd man/GermanCredit.Rd man/friedmandata.Rd man/locpvs.Rd man/calc.trans.Rd man/b.scal.Rd man/svmlight.Rd man/plineplot.Rd man/rerange.Rd man/triplot.Rd man/drawparti.Rd man/predict.pvs.Rd man/woe.Rd man/EDAM.Rd man/predict.svmlight.Rd man/NaiveBayes.Rd man/errormatrix.Rd man/betascale.Rd man/benchB3.Rd man/triframe.Rd man/predict.woe.Rd man/dmvnorm.Rd man/greedy.wilks.Rd man/stepclass.Rd man/cond.index.Rd man/quadtrafo.Rd

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