estimator

estimator,IQLearnFS-method

estimator,IQLearnSS-method

Retrieve the value as estimated by the statistical method.

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

estimator function

<dl><dt>x</dt>
<dd>a DynTxRegime Object.</dd>
<dt>...</dt>
<dd>Optional additional input. Ignored.</dd>
<dt>w</dt>
<dd>If IQ-Learning, object of class IQLearnSS, IQLearnFS_C, 
IQLearnFS_ME, or IQLearnFS_VHet</dd>
<dt>y</dt>
<dd>If IQ-Learning, object of class IQLearnSS, IQLearnFS_C, 
IQLearnFS_ME, or IQLearnFS_VHet</dd>
<dt>z</dt>
<dd>If IQ-Learning, object of class IQLearnSS, IQLearnFS_C, 
IQLearnFS_ME, or IQLearnFS_VHet</dd>
<dt>dens</dt>
<dd>If IQ-Learning, one of {"norm", "nonpar"}</dd></dl>

Arguments

Retrieve the Estimated Value — estimator

<dl>

<dt>x</dt>
<dd>a DynTxRegime Object.</dd>


<dt>...</dt>
<dd>Optional additional input. Ignored.</dd>


<dt>w</dt>
<dd>If IQ-Learning, object of class IQLearnSS, IQLearnFS_C, 
IQLearnFS_ME, or IQLearnFS_VHet</dd>


<dt>y</dt>
<dd>If IQ-Learning, object of class IQLearnSS, IQLearnFS_C, 
IQLearnFS_ME, or IQLearnFS_VHet</dd>


<dt>z</dt>
<dd>If IQ-Learning, object of class IQLearnSS, IQLearnFS_C, 
IQLearnFS_ME, or IQLearnFS_VHet</dd>


<dt>dens</dt>
<dd>If IQ-Learning, one of {"norm", "nonpar"}</dd>

</dl>

estimator: Retrieve the Estimated Value

Description

Usage

Arguments