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 |
CRAN checks: | DTRreg results |
Reference manual: | DTRreg.pdf |
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: DTRreg_1.7.tgz, r-oldrel: DTRreg_1.7.tgz |
Old sources: | DTRreg archive |
Please use the canonical form https://CRAN.R-project.org/package=DTRreg to link to this page.