remove_nodes

This function removes nodes from a Gaussian mixture graphical model. If this
model is a dynamic Bayesian network, the nodes are removed from each of its
transition models.

Gaussian mixture graphical models include Bayesian networks and
dynamic Bayesian networks (their temporal extension) whose local probability
distributions are described by Gaussian mixture models. They are powerful
tools for graphically and quantitatively representing nonlinear dependencies
between continuous variables. This package provides a complete framework to
create, manipulate, learn the structure and the parameters, and perform
inference in these models. Most of the algorithms are described in the PhD
thesis of Roos (2018) <https://tel.archives-ouvertes.fr/tel-01943718>.

J<c3><a9>r<c3><a9>my Roos

gmgm

Gaussian Mixture Graphical Model Learning and Inference

Jérémy Roos

RATP Group 

remove_nodes function

<dl><dt>gmgm</dt>
<dd>An object of class <code>gmbn</code> or <code>gmdbn</code>.</dd>
<dt>nodes</dt>
<dd>A character vector containing the removed nodes.</dd></dl>

Arguments

Remove nodes from a Gaussian mixture graphical model — remove_nodes

<dl>

<dt>gmgm</dt>
<dd>An object of class <code>gmbn</code> or <code>gmdbn</code>.</dd>


<dt>nodes</dt>
<dd>A character vector containing the removed nodes.</dd>

</dl>

remove_nodes: Remove nodes from a Gaussian mixture graphical model

Description

Usage

Value

Arguments

See Also

Examples