plot,Stratified.ceg.model,ANY-method

<p>This Method is used to plot a chain event graph from a Stratified.ceg.model S4 object.
The current <code>ceg</code> package implementation depends on <code>Rgraphviz</code>
package from Bioconductor to draw the CEG graph.</p>

Create and learn Chain Event Graph (CEG) models using a Bayesian
framework. It provides us with a Hierarchical Agglomerative algorithm to
search the CEG model space.
The package also includes several facilities for visualisations of the
objects associated with a CEG. The CEG class can represent a range of
relational data types, and supports arbitrary vertex, edge and graph
attributes. A Chain Event Graph is a tree-based graphical model that
provides a powerful graphical interface through which domain experts can
easily translate a process into sequences of observed events using plain
language. CEGs have been a useful class of graphical model especially to
capture context-specific conditional independences. References: Collazo R,
Gorgen C, Smith J. Chain Event Graph. CRC Press, ISBN 9781498729604, 2018
(forthcoming); and Barday LM, Collazo RA, Smith JQ, Thwaites PA, Nicholson AE.
The Dynamic Chain Event Graph. Electronic Journal of Statistics, 9 (2) 2130-2169
<doi:10.1214/15-EJS1068>.

plot,Stratified.ceg.model,ANY-method: Stratified.ceg.model Plotting

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Examples