b.scal |
Calculation of beta scaling parameters |
B3 |
West German Business Cycles 1955-1994 |
benchB3 |
Benchmarking on B3 data |
betascale |
Scale membership values according to a beta scaling |
calc.trans |
Calculation of transition probabilities |
centerlines |
Lines from classborders to the center |
classscatter |
Classification scatterplot matrix |
corclust |
Function to identify groups of highly correlated variables
for removing correlated features from the data for further analysis. |
countries |
Socioeconomic data for the most populous countries. |
dkernel |
Estimate density of a given kernel |
drawparti |
Plotting the 2-d partitions of classification methods |
e.scal |
Function to calculate e- or softmax scaled membership values |
EDAM |
Computation of an Eight Direction Arranged Map |
errormatrix |
Tabulation of prediction errors by classes |
friedman.data |
Friedman's classification benchmark data |
greedy.wilks |
Stepwise forward variable selection for classification |
hmm.sop |
Calculation of HMM Sum of Path |
loclda |
Localized Linear Discriminant Analysis (LocLDA) |
locpvs |
Pairwise variable selection for classification in local models |
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.EDAM |
Plotting Eight Direction Arranged Maps or Self-Organizing Maps |
plot.NaiveBayes |
Naive Bayes Plot |
plot.rda |
Regularized Discriminant Analysis (RDA) |
plot.stepclass |
Stepwise variable selection for classification |
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 |
print.greedy.wilks |
Stepwise forward variable selection for classification |
print.loclda |
Localized Linear Discriminant Analysis (LocLDA) |
print.meclight |
Minimal Error Classification |
print.pvs |
Pairwise variable selection for classification |
print.rda |
Regularized Discriminant Analysis (RDA) |
print.stepclass |
Stepwise variable selection for classification |
pvs |
Pairwise variable selection for classification |
quadplot |
Plotting of 4 dimensional membership representation simplex |
rda |
Regularized Discriminant Analysis (RDA) |
shardsplot |
Plotting Eight Direction Arranged Maps or Self-Organizing Maps |
sknn |
Simple k nearest Neighbours |
stepclass |
Stepwise variable selection for classification |
svmlight |
Interface to SVMlight |
triframe |
Barycentric plots |
trigrid |
Barycentric plots |
trilines |
Barycentric plots |
triperplines |
Barycentric plots |
triplot |
Barycentric plots |
tripoints |
Barycentric plots |
tritrafo |
Barycentric plots |
ucpm |
Uschi's classification performance measures |