Stratified.ceg.model

<p>Stratified.staged.tree S4 object    A staged tree is called stratified if
its supporting event tree is stratified and all vertices which are in the same stage
are also at the same distance of edges from the root.</p>

stratified.staged.tree

<p>S3 function to friendly construct S4  Stratified.ceg.model.</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>.

Stratified.ceg.model: Stratified.ceg.model constructor.

Description

Usage

Arguments

Value

Examples