link2adj

Extract links from an adjacency matrix or an object of calsses "<code>sim</code>" from function <code>bdgraph.sim</code> and
 <code>"graph"</code> from function <code>graph.sim</code>.

graphs

Advanced statistical tools for Bayesian structure learning in undirected graphical models, accommodating continuous, ordinal, discrete, count, and mixed data. It integrates recent advancements in Bayesian graphical models as presented in the literature, including the works of Mohammadi and Wit (2015) <doi:10.1214/14-BA889>, Mohammadi et al. (2021) <doi:10.1080/01621459.2021.1996377>, Dobra and Mohammadi (2018) <doi:10.1214/18-AOAS1164>, and Mohammadi et al. (2023) <doi:10.48550/arXiv.2307.00127>.

Abdolreza Mohammadi

BDgraph

Bayesian Structure Learning in Graphical Models using
Birth-Death MCMC

Reza Mohammadi

Ernst Wit

Adrian Dobra

link2adj function

<dl> <dt>link</dt>
<dd>(\(2 \times p\)) <code>matrix</code> or a <code>data.frame</code> corresponding to the links from the graph structure.</dd> <dt>p</dt>
<dd>number of nodes of the graph.</dd></dl>

Arguments

Reza Mohammadi <a href="/link/a.mohammadi%40uva.nl?package=BDgraph&version=2.73" data-mini-rdoc="BDgraph::a.mohammadi@uva.nl">a.mohammadi@uva.nl</a>

Author

Extract links from an adjacency matrix — link2adj

<dl>

 <dt>link</dt>
<dd>(\(2 \times p\)) <code>matrix</code> or a <code>data.frame</code> corresponding to the links from the graph structure.</dd>

 <dt>p</dt>
<dd>number of nodes of the graph.</dd>

</dl>

Reza Mohammadi <a href='mailto:a.mohammadi@uva.nl'>a.mohammadi@uva.nl</a>

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link2adj: Extract links from an adjacency matrix

Description

Usage

Value

Arguments

Author

References

See Also

Examples