DTRlearn: 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.

AuthorYing Liu, Yuanjia Wang, Donglin Zeng
Date of publication2015-12-28 00:06:00
MaintainerYing Liu <yl2802@cumc.columbia.edu>
LicenseGPL-2
Version1.2

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