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ContaminatedMixt (version 1.3.8)

Clustering and Classification with the Contaminated Normal

Description

Fits mixtures of multivariate contaminated normal distributions (with eigen-decomposed scale matrices) via the expectation conditional- maximization algorithm under a clustering or classification paradigm Methods are described in Antonio Punzo, Angelo Mazza, and Paul D McNicholas (2018) .

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Version

Install

install.packages('ContaminatedMixt')

Monthly Downloads

503

Version

1.3.8

License

GPL-2

Maintainer

Last Published

May 5th, 2023

Functions in ContaminatedMixt (1.3.8)

pairs.ContaminatedMixt

Scatterplot Matrix for ContaminatedMixt Objects
CNpredict

Cluster Prediction
agree

Agreement Between Partitions
dCN

Multivariate Contaminated Normal Distribution
Extractor functions

Extractors for ContaminatedMixt Class Objects.
CNmixt

Fitting for the Parsimonious Mixtures of Contaminated Normal Distributions
plot.ContaminatedMixt

Scatterplot for ContaminatedMixt Objects
ContaminatedMixt-package

ContaminatedMixt - Parsimonious Mixtures of Contaminated Normal Distributions
m.step

M-step of the EM algorithm for Parsimonious Normal Mixtures
wine

Wine Data Set