Surrogate-methods

.optim,Surrogate-method

<p>Utilizes stats::optim to obtain parameter estimates. Requires that
the objective function and its derivative are defined by the
calling learning method. Returns NULL if optimization is not successful 
due to problems;
a vector of the current parameter estimates if optimization is not
successful because it hit the maximum number if iterations; and
the list object returned by stats::optim if optimization is successful</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

Surrogate-methods: Methods Available for Objects of Class `Surrogate`

Description

Usage

Arguments