DTRlearn (1.3)

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Learning Algorithms for Dynamic Treatment Regimes.


Dynamic treatment regimens (DTRs) are sequential decision rules tailored at each stage by time-varying subject-specific features and intermediate outcomes observed in previous stages. This package implements three methods: O-learning (Zhao et. al. 2012,2014), Q-learning (Murphy et. al. 2007; Zhao et.al. 2009) and P-learning (Liu et. al. 2014, 2015) to estimate the optimal DTRs.

Maintainer: Ying Liu
Author(s): Ying Liu, Yuanjia Wang, Donglin Zeng

License: GPL-2

Uses: ggplot2, glmnet, kernlab, MASS

Released over 1 year ago.

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