plotInfCrt

plotInfCrt-methods

plotInfCrt,IdtMclust-method

An object of type &#8220;IdtMclust&#8221; representing the the clusterig results of an Interval-valued data set obtainde by the function &#8220;IdtMclust&#8221;.

object

The information criteria whose values are to be displayed.

Legend position. Alternatives are &#8220;bottomleft&#8221; (default), &#8220;bottomright&#8221;, &#8220;topleft&#8221; and &#8220;bottomright&#8221;.

legpos

Number of solutions for which the value of the information criterio should be printed in an suplmentary short output message.

nprnt

Graphical arguments to be passed to methods.

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Method plotInfCrt displays a plot representing the values of an approprtiate information criterion (currently either BIC or AIC) for the models whose results are stored in an IdtMclust-method object. A supplementary short output message prints the values of the chosen criterion for the 'nprin' best models.

methods

model based clustering

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.

plotInfCrt-methods: Information criteria plot.

Description

Usage

Arguments

See Also