OptimStep-class

<p>Class <code>OptimStep</code>
Class <code>OptimStep</code> holds results of a combined cross-validation and final
  optimization step for weighted learning methods.</p>

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

OptimStep-class function

Class OptimStep
Class OptimStep holds results of a combined cross-validation and final
  optimization step for weighted learning methods. — OptimStep-class

Class <code>OptimStep</code>
Class <code>OptimStep</code> holds results of a combined cross-validation and final
  optimization step for weighted learning methods.

OptimStep-class: Class `OptimStep` Class `OptimStep` holds results of a combined cross-validation and final optimization step for weighted learning methods.

Description

Arguments