print.wald_test.adaptive_iptw

Print the output of wald_test.adaptive_iptw

Targeted minimum loss-based estimators of counterfactual means and
causal effects that are doubly-robust with respect both to consistency and
asymptotic normality (Benkeser et al (2017), <doi:10.1093/biomet/asx053>; MJ
van der Laan (2014), <doi:10.1515/ijb-2012-0038>).

David Benkeser

drtmle

Doubly-Robust Nonparametric Estimation and Inference

Nima Hejazi

print.wald_test.adaptive_iptw function

<dl><dt>x</dt>
<dd>An object of class wald_test.adaptive_iptw</dd>
<dt>digits</dt>
<dd>Number of digits to round to</dd>
<dt>...</dt>
<dd>Other options (not currently used)</dd></dl>

Arguments

Print the output of wald_test.adaptive_iptw — print.wald_test.adaptive_iptw

<dl>

<dt>x</dt>
<dd>An object of class wald_test.adaptive_iptw</dd>


<dt>digits</dt>
<dd>Number of digits to round to</dd>


<dt>...</dt>
<dd>Other options (not currently used)</dd>

</dl>

print.wald_test.adaptive_iptw: Print the output of wald_test.adaptive_iptw

Description

Usage

Arguments