.newCVInfo

.newCVInfo,ANY,ANY-method

.newCVInfo,numeric,Kernel-method

.newCVInfo,numeric,MultiRadialKernel-method

.newCVInfo,array,Kernel-method

.newCVInfo,array,MultiRadialKernel-method

Dispatch appropriate cross-validation procedure.

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

.newCVInfo function

<dl><dt>lambdas</dt>
<dd>tuning parameters</dd>
<dt>kernel</dt>
<dd>kernel object</dd></dl>

Arguments

Create a CVInfo Object — .newCVInfo

<dl>

<dt>lambdas</dt>
<dd>tuning parameters</dd>


<dt>kernel</dt>
<dd>kernel object</dd>

</dl>

.newCVInfo: Create a CVInfo Object

Description

Usage

Arguments