IdtNandSNDE-class

IdtNandSNDE is a class union used for storing the estimation results of Normal and Skew-Normal modelizations for Interval Data.

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

IdtNandSNDE-class function

<dl class="dl-horizontal">
 <dt>coef</dt><dd><code>signature(coef = "IdtNandSNDE")</code>: extracts parameter estimates from objects of type IdtNandSNDE.</dd>
 <dt>stdEr</dt><dd><code>signature(x = "IdtNandSNDE")</code>: extracts standard errors from objects of type IdtNandSNDE.</dd>
 <dt>vcov</dt><dd><code>signature(x = "IdtNandSNDE")</code>: extracts an estimate of the variance-covariance matrix of the parameters estimators for objects of type IdtNandSNDE.</dd>
 </dl>

Methods

Class "IdtNandSNDE" — IdtNandSNDE-class

<dl class='dl-horizontal'>
 <dt>coef</dt><dd><code>signature(coef = "IdtNandSNDE")</code>: extracts parameter estimates from objects of type IdtNandSNDE.</dd>
 <dt>stdEr</dt><dd><code>signature(x = "IdtNandSNDE")</code>: extracts standard errors from objects of type IdtNandSNDE.</dd>
 <dt>vcov</dt><dd><code>signature(x = "IdtNandSNDE")</code>: extracts an estimate of the variance-covariance matrix of the parameters estimators for objects of type IdtNandSNDE.</dd>
 </dl>

IdtNandSNDE-class: Class "IdtNandSNDE"

Description

Arguments

Methods

References

See Also