.newPropensityObj

.newPropensityObj,ANY,ANY-method

.newPropensityObj,ModelObj_DecisionPointList,TxInfoList-method

Calls newPropensityFit and stores result in @propen.

internal

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

.newPropensityObj function

<dl><dt>moPropen</dt>
<dd>A modeling object</dd>
<dt>txObj</dt>
<dd>A TxObj object</dd>
<dt>...</dt>
<dd>Any optional additional input.</dd></dl>

Arguments

Create a new PropensityObj object — .newPropensityObj

<dl>

<dt>moPropen</dt>
<dd>A modeling object</dd>


<dt>txObj</dt>
<dd>A TxObj object</dd>


<dt>...</dt>
<dd>Any optional additional input.</dd>

</dl>

.newPropensityObj: Create a new `PropensityObj` object

Description

Usage

Arguments