cat_ord_data

A dataset created by discretizing the continuous <code>num_data</code> into 5 ordered categorical levels per variable.

datasets

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

cat_ord_data function

A data.frame with 1000 rows and 5 variables.<dl>
<dt>X1</dt>
<dd>Categorical version of <code>num_data$X1</code>, with 5 ordered levels a–e.</dd><dt>X2</dt>
<dd>Categorical version of <code>num_data$X2</code>, with 5 ordered levels a–e.</dd><dt>X3</dt>
<dd>Categorical version of <code>num_data$X3</code>, with 5 ordered levels a–e.</dd><dt>Z</dt>
<dd>Categorical version of <code>num_data$Z</code>, with 5 ordered levels a–e.</dd><dt>Y</dt>
<dd>Categorical version of <code>num_data$Y</code>, with 5 ordered levels a–e.</dd>
</dl>

Format

Simulated Ordered Categorical Data — cat_ord_data

A data.frame with 1000 rows and 5 variables.<dl>
<dt>X1</dt>
<dd>Categorical version of <code>num_data$X1</code>, with 5 ordered levels a–e.</dd>

<dt>X2</dt>
<dd>Categorical version of <code>num_data$X2</code>, with 5 ordered levels a–e.</dd>

<dt>X3</dt>
<dd>Categorical version of <code>num_data$X3</code>, with 5 ordered levels a–e.</dd>

<dt>Z</dt>
<dd>Categorical version of <code>num_data$Z</code>, with 5 ordered levels a–e.</dd>

<dt>Y</dt>
<dd>Categorical version of <code>num_data$Y</code>, with 5 ordered levels a–e.</dd>


</dl>

cat_ord_data: Simulated Ordered Categorical Data

Description

Usage

Arguments

Format

Details

See Also

Examples