Plot the graph associated with a Bayesian network using the Rgraphviz
 package.

graphviz.plot

Bayesian network structure learning, parameter learning and inference.
This package implements constraint-based (PC, GS, IAMB, Inter-IAMB, MMPC,
Hiton-PC, HPC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing,
Tabu Search, DirectLiNGAM) and hybrid (MMHC, RSMAX2, H2PC) structure learning
algorithms for discrete, Gaussian, conditional Gaussian and zero-inflated
networks, along with many score functions and conditional independence tests.
The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also
implemented. Some utility functions (model comparison and manipulation,
random data generation, arc orientation testing, simple and advanced plots)
are included, as well as support for parameter estimation (maximum likelihood
and Bayesian) and inference, conditional probability queries, interventions,
counterfactuals, cross-validation, bootstrap and model averaging. Development
snapshots with the latest bugfixes are available from
<https://www.bnlearn.com/>.

Marco Scutari

bnlearn

Bayesian Network Structure Learning, Parameter Learning and
Inference

Tomi Silander

graphviz.plot function

Plot the graph associated with a Bayesian network using the Rgraphviz
 package.

Advanced Bayesian network plots — graphviz.plot

<dl>

 <dt>x</dt>
<dd>an object of class <code>bn</code> or <code>bn.fit</code>.</dd>

 <dt>highlight</dt>
<dd>a list, see below.</dd>

 <dt>groups</dt>
<dd>a list of character vectors, representing groups of node labels
 of nodes that should be plotted close to each other.</dd>

 <dt>layout</dt>
<dd>a character string, the layout argument that will be passed to
 Rgraphviz. Possible values are <code>"dot"</code>, <code>"neato"</code>,
 <code>"twopi"</code>, <code>"circo"</code> and <code>"fdp"</code>. See Rgraphviz
 documentation for details.</dd>

 <dt>shape</dt>
<dd>a character string, the shape of the nodes. Can be <code>"circle"</code>,
 <code>"ellipse"</code> or <code>"rectangle"</code>.</dd>

 <dt>fontsize</dt>
<dd>a positive number, the font size for the node labels.</dd>

 <dt>main</dt>
<dd>a character string, the main title of the graph. It's plotted at
 the top of the graph.</dd>

 <dt>sub</dt>
<dd>a character string, a subtitle which is plotted at the bottom of
 the graph.</dd>

 <dt>render</dt>
<dd>a logical value. If <code>TRUE</code>, <code>graphviz.plot()</code> actually
 draws the figure in addition to returning the corresponding <code>graph</code>
 object. If <code>FALSE</code>, no figure is produced.</dd>

</dl>

graphviz.plot: Advanced Bayesian network plots

Description

Usage

Arguments

Value

Details

See Also