Description Details Author(s) References See Also
Implementations of Interactive Q-Learning, Q-Learning, and value-search methods based on augmented inverse probability weighted estimators and inverse probability weighted estimators.
Package: | DynTxRegime |
Type: | Package |
Version: | 2.1 |
Date: | 2015-06-10 |
License: | GPL-2 |
Depends: | methods, modelObj, rgenoud |
Please see the references below for details of each method implemented.
Marie Davidian, Eric B. Laber, Kristin A. Linn,
Leonard A. Stefanski, Anastasios A. Tsiatis, Baqun Zhang, Min Zhang,
and Shannon T. Holloway
Maintainer: Shannon T. Holloway <sthollow@ncsu.edu>
Laber, E. B., Linn, K. A., and Stefanski, L. A. (2014). Interactive Q-learning. Biometrika, in press.
Zhang, B., Tsiatis, A. A., Davidian, M., Zhang, M., and Laber, E. B. (2012). Estimating Optimal Treatment Regimes from a Classification Perspective. Stat, 1, 103–114
Zhang, B., Tsiatis, A. A., Laber, E. B., and Davidian, M. (2012). A Robust Method for Estimating Optimal Treatment Regimes. Biometrics, 68, 1010–1018.
Zhang, B., Tsiatis, A. A., Laber, E. B., and Davidian, M. (2013) Robust Estimation of Optimal Dynamic Treatment Regimes for Sequential Treatment Decisions. Biometrika, 100, 681–694.
Mebane, W. and Sekhon, J. S. (2011). Genetic Optimization Using Derivatives : The rgenoud package for R. Journal of Statistical Software, 42, 1–26.
iqLearnSS
,
iqLearnFSM
,
iqLearnFSC
,
iqLearnFSV
,
optimalSeq
,
optimalClass
,
qLearn
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