causalTreecallback

This routine sets up the callback code for user-written split
routines in causalTree

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

causalTreecallback function

<dl><dt>mlist</dt>
<dd>a list of user written methods</dd>
<dt>nobs</dt>
<dd>number of observations</dd>
<dt>init</dt>
<dd>function name</dd></dl>

Arguments

Intermediate function for causalTree — causalTreecallback

<dl>

<dt>mlist</dt>
<dd>a list of user written methods</dd>


<dt>nobs</dt>
<dd>number of observations</dd>


<dt>init</dt>
<dd>function name</dd>

</dl>

causalTreecallback: Intermediate function for `causalTree`

Description

Usage

Value

Arguments