DTRlearn: Learning Algorithms for Dynamic Treatment Regimes
Version 1.3

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
Date of publication2018-04-05 22:03:46 UTC
MaintainerYing Liu <[email protected]>
LicenseGPL-2
Version1.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("DTRlearn")

Try the DTRlearn package in your browser

Any scripts or data that you put into this service are public.

DTRlearn documentation built on April 6, 2018, 1:04 a.m.