summary,IdtMclust-method

An object of class <code><a href="/link/?package=MAINT.Data&version=2.3.1" idtmclust'="" data-mini-rdoc="MAINT.Data::"></a>'>IdtMclust</code> representing the results of fitting Gaussian mixtures to interval data objects

object

A boolean flag indicating if the parameter estimates of the optimal mixture should be displayed

parameters

A boolean flag indicating if the crisp classification resulting from the optimal mixture should be displayed

classification

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summary methods for classes defined in Package `MAINT.Data'.

methods

interval data

summary-methods

Implements methodologies for modelling interval data by Normal
and Skew-Normal distributions, considering appropriate parameterizations of
the variance-covariance matrix that takes into account the intrinsic nature of
interval data, and lead to four different possible configuration structures.
The Skew-Normal parameters can be estimated by maximum likelihood, while Normal
parameters may be estimated by maximum likelihood or robust trimmed maximum
likelihood methods.

Antonio Duarte Silva

MAINT.Data

Model and Analyse Interval Data

summary-methods function

An object of class <code><a href='<a href='IdtMclust'></a>'>IdtMclust</a></code> representing the results of fitting Gaussian mixtures to interval data objects

summary-methods: Methods for Function summary in Package `MAINT.Data'

Description

Usage

Arguments