new_disco_method

This function allows you to create a new causal discovery method that can be used with the <code>disco()</code> function.
You provide a builder function that constructs a runner object, along with metadata about the algorithm, and it
returns a closure that can be called with a data frame to perform causal discovery and return a caugi::caugi object.

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

new_disco_method function

<dl><dt>builder</dt>
<dd>A function returning a runner</dd>
<dt>name</dt>
<dd>Algorithm name</dd>
<dt>engine</dt>
<dd>Engine identifier</dd>
<dt>graph_class</dt>
<dd>Output graph class</dd></dl>

Arguments

Add a New causalDisco Method — new_disco_method

<dl>

<dt>builder</dt>
<dd>A function returning a runner</dd>


<dt>name</dt>
<dd>Algorithm name</dd>


<dt>engine</dt>
<dd>Engine identifier</dd>


<dt>graph_class</dt>
<dd>Output graph class</dd>

</dl>

new_disco_method: Add a New causalDisco Method

Description

Usage

Value

Arguments

See Also