DTRlearn: Learning Algorithms for Dynamic Treatment Regimes (R)

TitleDTRlearn: Learning Algorithms for Dynamic Treatment Regimes (R)
Publication TypeSoftware
Year of Publication2018
AuthorsLiu, Ying, Yuanjia Wang, and Donglin Zeng
Version1.3
TypeR
Abstract

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.

Project: