IdtMxtNDE-class

<p>IdtMxtNDE is an union of classes <code><a href="/link/?package=MAINT.Data&version=2.4.1" idtmxnde'="" data-mini-rdoc="MAINT.Data::"></a>'>IdtMxNDE</code> and <code><a href="/link/?package=MAINT.Data&version=2.4.1" idtmxndre'="" data-mini-rdoc="MAINT.Data::"></a>'>IdtMxNDRE</code>, containing the results of mixture Normal model parameter estimation by maximulm likelihood (<code><a href="/link/?package=MAINT.Data&version=2.4.1" idtmxnde'="" data-mini-rdoc="MAINT.Data::"></a>'>IdtMxNDE</code>) or robust (<code><a href="/link/?package=MAINT.Data&version=2.4.1" idtmxndre'="" data-mini-rdoc="MAINT.Data::"></a>'>IdtMxNDRE</code>) methods.</p>

classes

interval data

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

IdtMxtNDE-class function

<p>IdtMxtNDE is an union of classes <code><a href='<a href='IdtMxNDE'></a>'>IdtMxNDE</a></code> and <code><a href='<a href='IdtMxNDRE'></a>'>IdtMxNDRE</a></code>, containing the results of mixture Normal model parameter estimation by maximulm likelihood (<code><a href='<a href='IdtMxNDE'></a>'>IdtMxNDE</a></code>) or robust (<code><a href='<a href='IdtMxNDRE'></a>'>IdtMxNDRE</a></code>) methods.</p>

IdtMxtNDE-class: Class IdtMxtNDE

Description

Arguments

See Also