DTRreg: DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)

Dynamic treatment regime estimation and inference via G-estimation, dynamic weighted ordinary least squares (dWOLS) and Q-learning. Inference via bootstrap and (for G-estimation) recursive sandwich estimation. Estimation and inference for survival outcomes via Dynamic Weighted Survival Modeling (DWSurv). Extension to continuous treatment variables (gdwols). Wallace et al. (2017) <doi:10.18637/jss.v080.i02>; Simoneau et al. (2020) <doi:10.1080/00949655.2020.1793341>.

Version:	1.7
Imports:	graphics, stats, utils, dplyr, MASS
Published:	2020-09-13
Author:	Michael Wallace, Erica E M Moodie, David A Stephens, Gabrielle Simoneau and Juliana Schulz
Maintainer:	Michael Wallace <michael.wallace at uwaterloo.ca>
License:	GPL-2
NeedsCompilation:	no
In views:	CausalInference
CRAN checks:	DTRreg results

Documentation:

Reference manual:

DTRreg.pdf

Downloads:

Package source:	DTRreg_1.7.tar.gz
Windows binaries:	r-devel: DTRreg_1.7.zip, r-release: DTRreg_1.7.zip, r-oldrel: DTRreg_1.7.zip
macOS binaries:	r-release (arm64): DTRreg_1.7.tgz, r-oldrel (arm64): DTRreg_1.7.tgz, r-release (x86_64): DTRreg_1.7.tgz, r-oldrel (x86_64): DTRreg_1.7.tgz
Old sources:	DTRreg archive

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