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klaR (version 0.6-1)
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
0.6-1
License
GPL-2
Maintainer
Uwe Ligges
Last Published
November 16th, 2009
Functions in klaR (0.6-1)
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errormatrix
Tabulation of prediction errors by classes
friedman.data
Friedman's classification benchmark data
B3
West German Business Cycles 1955-1994
pvs
Pairwise variable selection for classification
benchB3
Benchmarking on B3 data
corclust
Function to identify groups of highly correlated variables for removing correlated features from the data for further analysis.
ucpm
Uschi's classification performance measures
drawparti
Plotting the 2-d partitions of classification methods
e.scal
Function to calculate e- or softmax scaled membership values
predict.NaiveBayes
Naive Bayes Classifier
NaiveBayes
Naive Bayes Classifier
TopoS
Computation of criterion S of a visualization
betascale
Scale membership values according to a beta scaling
kmodes
K-Modes Clustering
trigrid
Barycentric plots
predict.locpvs
predict method for locpvs objects
triplot
Barycentric plots
hmm.sop
Calculation of HMM Sum of Path
dkernel
Estimate density of a given kernel
EDAM
Computation of an Eight Direction Arranged Map
stepclass
Stepwise variable selection for classification
triperplines
Barycentric plots
classscatter
Classification scatterplot matrix
predict.loclda
Localized Linear Discriminant Analysis (LocLDA)
locpvs
Pairwise variable selection for classification in local models
plineplot
Plotting marginal posterior class probabilities
quadplot
Plotting of 4 dimensional membership representation simplex
quadtrafo
Transforming of 4 dimensional values in a barycentric coordinate system.
nm
Nearest Mean Classification
GermanCredit
Statlog German Credit
.dmvnorm
Density of a Multivariate Normal Distribution
calc.trans
Calculation of transition probabilities
countries
Socioeconomic data for the most populous countries.
loclda
Localized Linear Discriminant Analysis (LocLDA)
predict.pvs
predict method for pvs objects
centerlines
Lines from classborders to the center
predict.svmlight
Interface to SVMlight
sknn
Simple k nearest Neighbours
plot.NaiveBayes
Naive Bayes Plot
meclight.default
Minimal Error Classification
predict.meclight
Prediction of Minimal Error Classification
triframe
Barycentric plots
greedy.wilks
Stepwise forward variable selection for classification
tripoints
Barycentric plots
distmirr
Internal function to convert a distance structure to a matrix
tritrafo
Barycentric plots
rerange
Linear transformation of data
rda
Regularized Discriminant Analysis (RDA)
predict.rda
Regularized Discriminant Analysis (RDA)
partimat
Plotting the 2-d partitions of classification methods
svmlight
Interface to SVMlight
cond.index
Calculation of Condition Indices for Linear Regression
shardsplot
Plotting Eight Direction Arranged Maps or Self-Organizing Maps
predict.woe
Weights of evidence
woe
Weights of evidence
plot.woe
Plot information values
b.scal
Calculation of beta scaling parameters
predict.sknn
Simple k Nearest Neighbours Classification