PropensityFit-class

Class <code>PropensityFit</code> is a <code>TypedFit</code> identified as being
 for a propensity regression step.

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

PropensityFit-class function

<dl>
<dt><code>small</code></dt>
<dd>A logical TRUE indicates that the smallest valued tx is
missing; FALSE indicates that the largest valued tx is missing</dd></dl>
<dt><code>levs</code></dt>
<dd>A vector; the set of treatment options included in fit.</dd>

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Class PropensityFit — PropensityFit-class

<dl>
<dt><code>small</code></dt>
<dd>A logical TRUE indicates that the smallest valued tx is
missing; FALSE indicates that the largest valued tx is missing</dd>


<dt><code>levs</code></dt>
<dd>A vector; the set of treatment options included in fit.</dd>


</dl>

PropensityFit-class: Class `PropensityFit`

Description

Arguments

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