plot.cre

A wrapper function to extend generic plot functions for cre class.

Provides a new method for interpretable heterogeneous
treatment effects characterization in terms of decision rules
via an extensive exploration of heterogeneity patterns by an
ensemble-of-trees approach, enforcing high stability in the
discovery. It relies on a two-stage pseudo-outcome regression, and
it is supported by theoretical convergence guarantees. Bargagli-Stoffi,
F. J., Cadei, R., Lee, K., & Dominici, F. (2023) Causal rule ensemble:
Interpretable Discovery and Inference of Heterogeneous Treatment Effects.
arXiv preprint <doi:10.48550/arXiv.2009.09036>.

Falco Joannes Bargagli Stoffi

Interpretable Discovery and Inference of Heterogeneous Treatment
Effects

Naeem Khoshnevis

Daniela Maria Garcia

Riccardo Cadei

Kwonsang Lee

plot.cre function

<dl><dt>x</dt>
<dd>A <code>cre</code> object.</dd>
<dt>...</dt>
<dd>Additional arguments passed to customize the plot.</dd></dl>

Arguments

Extend generic plot functions for cre class — plot.cre

<dl>

<dt>x</dt>
<dd>A <code>cre</code> object.</dd>


<dt>...</dt>
<dd>Additional arguments passed to customize the plot.</dd>

</dl>

plot.cre: Extend generic plot functions for cre class

Description

Usage

Value

Arguments