BestModel-methods

BestModel,IData-method

BestModel

Selects the best model according to the chosen selection criterion (currently, BIC or AIC)

methods

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.

Pedro Silva

MAINT.Data

Model and Analyse Interval Data

BestModel-methods function

<dl> <dt>ModE</dt>
<dd>An object of class <code>IdtE</code> representing the estimates of a model fitted to a data set of interval-value variables</dd> <dt>SelCrit</dt>
<dd>The model selection criterion. &#8220;IdtCrt&#8221; stands for the criterion originally used in the ModE estimation, while &#8220;BIC&#8221; and &#8220;AIC&#8221; represent respectively the Bayesian and Akaike information criteria.</dd></dl>

Arguments

Methods for function BestModel in Package `MAINT.Data' — BestModel-methods

<dl>

 <dt>ModE</dt>
<dd>An object of class <code>IdtE</code> representing the estimates of a model fitted to a data set of interval-value variables</dd>

 <dt>SelCrit</dt>
<dd>The model selection criterion. &#8220;IdtCrt&#8221; stands for the criterion originally used in the ModE estimation, while &#8220;BIC&#8221; and &#8220;AIC&#8221; represent respectively the Bayesian and Akaike information criteria.</dd>

</dl>

BestModel-methods: Methods for function BestModel in Package `MAINT.Data'

Description

Usage

Value

Arguments