check_input_data

Conducts sanity checks for the input data.

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

check_input_data function

<dl><dt>y</dt>
<dd>The observed response vector.</dd>
<dt>z</dt>
<dd>The treatment vector.</dd>
<dt>X</dt>
<dd>The features matrix.</dd>
<dt>ite</dt>
<dd>The estimated ITE vector.</dd></dl>

Arguments

Check input data — check_input_data

<dl>

<dt>y</dt>
<dd>The observed response vector.</dd>


<dt>z</dt>
<dd>The treatment vector.</dd>


<dt>X</dt>
<dd>The features matrix.</dd>


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

</dl>

check_input_data: Check input data

Description

Usage

Value

Arguments