rename_nodes

This function renames nodes of a Gaussian mixture graphical model. If this
model is a dynamic Bayesian network, the nodes are renamed for 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 

rename_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 renamed nodes.</dd>
<dt>names</dt>
<dd>A character vector containing the respective new names of the
nodes.</dd></dl>

Arguments

Rename nodes of a Gaussian mixture graphical model — rename_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 renamed nodes.</dd>


<dt>names</dt>
<dd>A character vector containing the respective new names of the
nodes.</dd>

</dl>

rename_nodes: Rename nodes of a Gaussian mixture graphical model

Description

Usage

Value

Arguments

See Also

Examples