verify_tetrad

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

verify_tetrad function

<dl><dt>version</dt>
<dd>Character. The version of Tetrad to check.
Default is the value of <code>getOption("causalDisco.tetrad.version")</code>.</dd></dl>

Arguments

Check Tetrad Installation — verify_tetrad

<dl>

<dt>version</dt>
<dd>Character. The version of Tetrad to check.
Default is the value of <code>getOption("causalDisco.tetrad.version")</code>.</dd>

</dl>

Check Tetrad Installation

verify_tetrad: Check Tetrad Installation

Description

Usage

Value

Arguments

Examples