Clustering and Classification with the Contaminated Normal

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Documentation for package ‘ContaminatedMixt’ version 1.3.7

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ContaminatedMixt-package ContaminatedMixt - Parsimonious Mixtures of Contaminated Normal Distributions
agree Agreement Between Partitions
CNmixt Fitting for the Parsimonious Mixtures of Contaminated Normal Distributions
CNmixtCV Fitting for the Parsimonious Mixtures of Contaminated Normal Distributions
CNpredict Cluster Prediction
ContaminatedMixt ContaminatedMixt - Parsimonious Mixtures of Contaminated Normal Distributions
dCN Multivariate Contaminated Normal Distribution
getBestModel Extractors for 'ContaminatedMixt' Class Objects.
getCluster Extractors for 'ContaminatedMixt' Class Objects.
getCV Extractors for 'ContaminatedMixt' Class Objects.
getDetection Extractors for 'ContaminatedMixt' Class Objects.
getIC Extractors for 'ContaminatedMixt' Class Objects.
getPar Extractors for 'ContaminatedMixt' Class Objects.
getPosterior Extractors for 'ContaminatedMixt' Class Objects.
getSize Extractors for 'ContaminatedMixt' Class Objects.
m.step M-step of the EM algorithm for Parsimonious Normal Mixtures
pairs.ContaminatedMixt Scatterplot Matrix for ContaminatedMixt Objects
plot.ContaminatedMixt Scatterplot for ContaminatedMixt Objects
predict.ContaminatedMixt Cluster Prediction
print.ContaminatedMixt Extractors for 'ContaminatedMixt' Class Objects.
rCN Multivariate Contaminated Normal Distribution
summary.ContaminatedMixt Extractors for 'ContaminatedMixt' Class Objects.
whichBest Extractors for 'ContaminatedMixt' Class Objects.
whichBestCV Extractors for 'ContaminatedMixt' Class Objects.
wine Wine Data Set