sim_dag

Simulates a random directed acyclic graph adjacency (DAG) matrix with <code>n</code> nodes
and either <code>m</code> edges, edge creation probability <code>p</code>, or edge creation
probability range <code>p_range</code>.

Tools for causal structure learning from observational data, with emphasis on temporally ordered variables.
The package implements the Temporal Peter–Clark (TPC) algorithm (Petersen, Osler & Ekstrøm, 2021;
<doi:10.1093/aje/kwab087>), the Temporal Greedy Equivalence Search (TGES) algorithm (Larsen, Ekstrøm & Petersen,
2025; <doi:10.48550/arXiv.2502.06232>) and Temporal Fast Causal Inference (TFCI).
It provides a unified framework for specifying background knowledge,
which can be incorporated into the implemented algorithms from the R packages 'bnlearn' (Scutari, 2010;
<doi:10.18637/jss.v035.i03>) and
'pcalg' (Kalish et al., 2012; <doi:10.18637/jss.v047.i11>), as well as the Java library 'Tetrad'
(Scheines et al., 1998; <doi:10.1207/s15327906mbr3301_3>).
The package further includes utilities for visualization, comparison, and evaluation of graph structures,
facilitating performance evaluation and methodological studies.

Bjarke Hautop Kristensen

causalDisco

Tools for Causal Discovery on Observational Data

Frederik Fabricius-Bjerre

Anne Helby Petersen

Claus Thorn Ekstrøm

Tobias Ellegaard Larsen

sim_dag function

<dl><dt>n</dt>
<dd>The number of nodes.</dd>
<dt>m</dt>
<dd>Integer in <code>0, n*(n-1)/2</code>. Number of edges in the graph. Exactly one
of <code>m</code> or <code>p</code> must be supplied.</dd>
<dt>p</dt>
<dd>Numeric in <code>[0,1]</code>. Probability of edge creation. Exactly one of
<code>m</code> or <code>p</code> must be supplied.</dd></dl>

Arguments

Simulate a Random DAG — sim_dag

<dl>

<dt>n</dt>
<dd>The number of nodes.</dd>


<dt>m</dt>
<dd>Integer in <code>0, n*(n-1)/2</code>. Number of edges in the graph. Exactly one
of <code>m</code> or <code>p</code> must be supplied.</dd>


<dt>p</dt>
<dd>Numeric in <code>[0,1]</code>. Probability of edge creation. Exactly one of
<code>m</code> or <code>p</code> must be supplied.</dd>

</dl>

sim_dag: Simulate a Random DAG

Description

Usage

Value

Arguments

See Also

Examples