DynTxRegime: Methods for Estimating Dynamic Treatment Regimes

A comprehensive toolkit for estimating Dynamic Treatment Regimes. Available methods include Interactive Q-Learning, Q-Learning, and value-search methods based on Augmented Inverse Probability Weighted estimators and Inverse Probability Weighted estimators.

Version: 2.1
Depends: methods, modelObj
Suggests: MASS, rpart, nnet, rgenoud
Published: 2015-06-11
Author: S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis
Maintainer: Shannon T. Holloway <sthollow at ncsu.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: DynTxRegime results


Reference manual: DynTxRegime.pdf
Package source: DynTxRegime_2.1.tar.gz
Windows binaries: r-devel: DynTxRegime_2.1.zip, r-release: DynTxRegime_2.1.zip, r-oldrel: DynTxRegime_2.1.zip
OS X Mavericks binaries: r-release: DynTxRegime_2.1.tgz, r-oldrel: DynTxRegime_2.1.tgz


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