allEdges

Finds the set of edges of a graph. That is
 the set of undirected edges if the graph is undirected
 and the set of arrows if the graph is directed.

multivariate

models

graphs

Provides functions for defining
mixed graphs containing three types of edges, directed,
undirected and bi-directed, with possibly multiple edges.
These graphs are useful because they capture fundamental
independence structures in multivariate distributions
and in the induced distributions after marginalization
and conditioning.
The package is especially concerned with Gaussian graphical
models for
(i) ML estimation for directed acyclic graphs, undirected and
bi-directed graphs and ancestral graph models
(ii) testing several conditional independencies
(iii) checking global identification of DAG Gaussian models
with one latent variable
(iv) testing Markov equivalences and generating Markov
equivalent graphs of specific types.

Giovanni M Marchetti

Graphical Markov Models with Mixed Graphs

Giovanni M. Marchetti

Mathias Drton

Kayvan Sadeghi

allEdges function

<dl> <dt>amat</dt>
<dd>a square Boolean matrix, with dimnames, the adjacency matrix of
 a graph.</dd></dl>

Arguments

Author

All edges of a graph — allEdges

<dl>

 <dt>amat</dt>
<dd>a square Boolean matrix, with dimnames, the adjacency matrix of
 a graph.</dd>

</dl>

allEdges: All edges of a graph

Description

Usage

Value

Arguments

Author

See Also

Examples