R: Clustering and Classification with the Contaminated Normal

# Clustering and Classification with the Contaminated Normal

## Documentation for package ‘ContaminatedMixt’ version 1.3.8

- DESCRIPTION file.

## Help Pages

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