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.

Package details

AuthorYing Liu, Yuanjia Wang, Donglin Zeng
MaintainerYing Liu <summeryingl@gmail.com>
Package repositoryView on CRAN
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DTRlearn documentation built on April 6, 2018, 1:04 a.m.