sd,IQLearnFS_C-method

Retrieve the standard deviation of the residuals for the first-stage contrasts
 regression in the interactive Q-Learning algorithm.

Methods to estimate dynamic treatment regimes using Interactive
Q-Learning, Q-Learning, weighted learning, and value-search methods based on
Augmented Inverse Probability Weighted Estimators and Inverse Probability
Weighted Estimators. Dynamic Treatment Regimes: Statistical Methods for
Precision Medicine, Tsiatis, A. A., Davidian, M. D., Holloway, S. T., and Laber, E. B.,
Chapman & Hall/CRC Press, 2020, ISBN:978-1-4987-6977-8.

Shannon Holloway

DynTxRegime

Methods for Estimating Optimal Dynamic Treatment Regimes

sd function

<dl><dt>x</dt>
<dd>An object of class <code>IQLearnFS_C</code></dd>
<dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd></dl>

Arguments

Standard Deviation — sd

<dl>

<dt>x</dt>
<dd>An object of class <code>IQLearnFS_C</code></dd>


<dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd>

</dl>

sd: Standard Deviation

Description

Usage

Arguments