Implementation of the vine graphical model for building
high-dimensional probability distributions as a factorization of
bivariate copulas and marginal density functions. This package
provides S4 classes for vines (C-vines and D-vines) and methods
for inference, goodness-of-fit tests, density/distribution
function evaluation, and simulation.

Multivariate Dependence Modeling with Vines

package-ubuntu-20.04-r-4.0.5#cran#vines-1.1.5

Extend the <code><a href="Vine-class.html">Vine</a></code> class to represent regular vines.

See <code><a href="Vine-class.html">Vine</a></code> for information about the inherited slots.

<dl>
<dt>show</dt>
<dd>
<code>signature(object = "CVine")</code>:
Print a textual representation of the C-vine.
</dd>
</dl>

<dl>
<dt>show</dt>
<dd>
<code>signature(object = "DVine")</code>:
Print a textual representation of the D-vine.
</dd>
</dl>

<code><a href="Vine-class.html">Vine</a></code>.

package-ubuntu-20.04-r-4.0.5#cran#vines-1.1.5#docs#RVine-classes

RVine-classes

Description

Slots

Methods

See Also

vines

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