set_knowledge

set_knowledge.disco_method

Set Background Knowledge to Disco Method

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

set_knowledge function

<dl><dt>method</dt>
<dd>A <code>"disco_method"</code> function.</dd>
<dt>knowledge</dt>
<dd>A <code>Knowledge</code> object appropriate for the engine.</dd></dl>

Arguments

Set Background Knowledge to Disco Method — set_knowledge

<dl>

<dt>method</dt>
<dd>A <code>"disco_method"</code> function.</dd>


<dt>knowledge</dt>
<dd>A <code>Knowledge</code> object appropriate for the engine.</dd>

</dl>

set_knowledge: Set Background Knowledge to Disco Method

Description

Usage

Arguments