dataSim6

<code>dataSim6</code> is a <code>list</code> with the adjacency matrix of a randomly generated DAG with 6 nodes and 5 edges and 100 correlation matrices generated from the DAG.

datasets

We propose an objective Bayesian algorithm for searching the space of Gaussian directed acyclic graph (DAG) models. The algorithm proposed makes use of moment fractional Bayes factors (MFBF) and thus it is suitable for learning sparse graph. The algorithm is implemented by using Armadillo: an open-source C++ linear algebra library.

Davide Altomare

FBFsearch

Algorithm for Searching the Space of Gaussian Directed Acyclic
Graph Models Through Moment Fractional Bayes Factors

dataSim6 function

<code>dataSim6</code> contains the following objects:<dl>
 <dt><code>Corr</code></dt>
<dd>List of 100 matrices (6x6) each of which with a correlation matrix generated from the DAG.</dd> <dt><code>TDag</code></dt>
<dd>Matrix (6x6) with the adjacency matrix of the DAG.</dd> 
</dl>

Format

DAG model with 6 nodes and 5 edges — dataSim6

<code>dataSim6</code> contains the following objects:<dl>
 <dt><code>Corr</code></dt>
<dd>List of 100 matrices (6x6) each of which with a correlation matrix generated from the DAG.</dd>

 <dt><code>TDag</code></dt>
<dd>Matrix (6x6) with the adjacency matrix of the DAG.</dd>

 
</dl>

dataSim6: DAG model with 6 nodes and 5 edges

Description

Usage

Arguments

Format

References