select_rules

Given a set of rules, selects the minimal set linearly decomposing the
Conditional Average Treatment Effect (CATE) by LASSO (optionally with
Stability Selection).

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

select_rules function

<dl><dt>rules_matrix</dt>
<dd>The rules matrix.</dd>
<dt>rules</dt>
<dd>A list of rules.</dd>
<dt>ite</dt>
<dd>The estimated ITE.</dd>
<dt>stability_selection</dt>
<dd>Stability selection method.</dd>
<dt>cutoff</dt>
<dd>Threshold (percentage) defining the minimum cutoff value for
the stability scores. Only for stability selection.</dd>
<dt>pfer</dt>
<dd>Upper bound for the per-family error rate (tolerated amount of
falsely selected rules). Only for stability selection.</dd>
<dt>B</dt>
<dd>Number of bootstrap samples.</dd></dl>

Arguments

Select rules — select_rules

<dl>

<dt>rules_matrix</dt>
<dd>The rules matrix.</dd>


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


<dt>ite</dt>
<dd>The estimated ITE.</dd>


<dt>stability_selection</dt>
<dd>Stability selection method.</dd>


<dt>cutoff</dt>
<dd>Threshold (percentage) defining the minimum cutoff value for
the stability scores. Only for stability selection.</dd>


<dt>pfer</dt>
<dd>Upper bound for the per-family error rate (tolerated amount of
falsely selected rules). Only for stability selection.</dd>


<dt>B</dt>
<dd>Number of bootstrap samples.</dd>

</dl>

select_rules: Select rules

Description

Usage

Value

Arguments