interpret_rules

Replaces the column numbers in the rules vector with their real names.

internal

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

interpret_rules function

<dl><dt>rules</dt>
<dd>A vector of rules.</dd>
<dt>X_names</dt>
<dd>A vector of real names of the covariates.</dd></dl>

Arguments

Interpret rules — interpret_rules

<dl>

<dt>rules</dt>
<dd>A vector of rules.</dd>


<dt>X_names</dt>
<dd>A vector of real names of the covariates.</dd>

</dl>

interpret_rules: Interpret rules

Description

Usage

Value

Arguments