causalTree.branch

Compute the "branches" to be drawn for an <code>causalTree</code> object

Estimating heterogeneous treatment effects with tree-based machine
learning algorithms and visualizing estimated results in flexible and
presentation-ready ways. For more information, see Brand, Xu, Koch,
and Geraldo (2021) <doi:10.1177/0081175021993503>. Our current package
first started as a fork of the 'causalTree' package on 'GitHub' and we
greatly appreciate the authors for their extremely useful and free package.

Jiahui Xu

htetree

Causal Inference with Tree-Based Machine Learning Algorithms

Tanvi Shinkre

Jennie Brand

causalTree.branch function

<dl><dt>x</dt>
<dd>covariates</dd>
<dt>y</dt>
<dd>outcome</dd>
<dt>node</dt>
<dd>node of the fitted tree</dd>
<dt>branch</dt>
<dd>branch of the fitted tree</dd></dl>

Arguments

Compute the "branches" to be drawn for an causalTree object — causalTree.branch

<dl>

<dt>x</dt>
<dd>covariates</dd>


<dt>y</dt>
<dd>outcome</dd>


<dt>node</dt>
<dd>node of the fitted tree</dd>


<dt>branch</dt>
<dd>branch of the fitted tree</dd>

</dl>

causalTree.branch: Compute the "branches" to be drawn for an `causalTree` object

Description

Usage

Value

Arguments