Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (1.7-3) of this package.
Take me there.
klaR (version 0.6-12)
Classification and visualization
Description
Miscellaneous functions for classification and visualization developed at the Fakultaet Statistik, Technische Universitaet Dortmund
Copy Link
Link to current version
Version
Version
1.7-3
1.7-2
1.7-1
1.7-0
0.6-15
0.6-14
0.6-12
0.6-11
0.6-10
0.6-9
0.6-8
0.6-7
0.6-6
0.6-5
0.6-4
0.6-3
0.6-2
0.6-1
0.6-0
0.5-9
0.5-8
0.5-7
0.5-6
0.5-5
0.5-4
0.5-3
0.5-2
0.5-1
0.5-0
0.4-2
0.4-1
0.4-0
0.3-4
0.3-3
0.3-2
0.3-0
0.2-1
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)
Search all functions
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