DynTxRegime

Methods for Estimating Optimal Dynamic Treatment Regimes

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.

Total

7,992

Last month

230

Last week

57

Average per day

8

Daily downloads

Total downloads

Description file content

Package
DynTxRegime
Type
Package
Title
Methods for Estimating Optimal Dynamic Treatment Regimes
Version
3.2
Date
2018-02-10
Author
S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis
Maintainer
Shannon T. Holloway
Description
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.
License
GPL-2
Depends
methods, modelObj, stats
Suggests
MASS, rpart, nnet
Imports
kernlab, rgenoud, dfoptim
NeedsCompilation
no
Repository
CRAN
Packaged
2018-02-12 16:22:43 UTC; sthollow
Date/Publication
2018-02-12 20:31:33 UTC

install.packages('DynTxRegime')

3.2

3 months ago

Shannon T. Holloway

GPL-2

Depends on

methods, modelObj, stats

Imports

kernlab, rgenoud, dfoptim

Suggests

MASS, rpart, nnet

Discussions