summary,IdtMclust-method

An object of class <code><a href="/link/?package=MAINT.Data&version=2.6.2" 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

A character vector specifying the the model whose solution is to be displayed.

model

&#8230;

summary methods for the classe IdtMclust 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.

Pedro Silva

MAINT.Data

Model and Analyse Interval Data

summary-methods function

<dl> <dt>object</dt>
<dd>An object of class <code>IdtMclust</code> representing the results of fitting Gaussian mixtures to interval data objects</dd> <dt>parameters</dt>
<dd>A boolean flag indicating if the parameter estimates of the optimal mixture should be displayed</dd> <dt>classification</dt>
<dd>A boolean flag indicating if the crisp classification resulting from the optimal mixture should be displayed</dd> <dt>model</dt>
<dd>A character vector specifying the the model whose solution is to be displayed.</dd> <dt>...</dt>
<dd>Other named arguments.</dd></dl>

Arguments

IdtMclust summary method — summary-methods

<dl>

 <dt>object</dt>
<dd>An object of class <code>IdtMclust</code> representing the results of fitting Gaussian mixtures to interval data objects</dd>

 <dt>parameters</dt>
<dd>A boolean flag indicating if the parameter estimates of the optimal mixture should be displayed</dd>

 <dt>classification</dt>
<dd>A boolean flag indicating if the crisp classification resulting from the optimal mixture should be displayed</dd>

 <dt>model</dt>
<dd>A character vector specifying the the model whose solution is to be displayed.</dd>

 <dt>...</dt>
<dd>Other named arguments.</dd>

</dl>

summary-methods: IdtMclust summary method

Description

Usage

Arguments

See Also