print.catefit

A doubly robust precision medicine approach to fit, cross-validate and visualize prediction models for the conditional average treatment effect (CATE). It implements doubly robust estimation and semiparametric modeling approach of treatment-covariate interactions as proposed by Yadlowsky et al. (2020) <doi:10.1080/01621459.2020.1772080>.

Thomas Debray

precmed

Precision Medicine

Lu Tian

Xiaotong Jiang

Gabrielle Simoneau

Biogen  MA  Inc. 

Stan Wijn

Joana Caldas

print.catefit function

<dl><dt>x</dt>
<dd>An object of class <code>"catefit"</code>.</dd>
<dt>...</dt>
<dd>Other parameters</dd></dl>

Arguments

Author

Print function for atefit — print.catefit

<dl>

<dt>x</dt>
<dd>An object of class <code>"catefit"</code>.</dd>


<dt>...</dt>
<dd>Other parameters</dd>

</dl>

Print function for atefit

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print.catefit: Print function for atefit

Description

Usage

Value

Arguments

Author

Details