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 recursive sandwich estimation. Estimation and inference for survival outcomes via Dynamic Weighted Survival Modeling (DWSurv). Extension to continuous treatment variables. Wallace et al. (2017) <doi:10.18637/jss.v080.i02>; Simoneau et al. (2020) <doi:10.1080/00949655.2020.1793341>.

Version: 2.2
Depends: R (≥ 3.5.0)
Imports: graphics, nnet, R6, stats, utils
Published: 2024-03-23
DOI: 10.32614/CRAN.package.DTRreg
Author: Michael Wallace, Erica E M Moodie, David A Stephens, Gabrielle Simoneau, Shannon T. Holloway and Juliana Schulz
Maintainer: Shannon T. Holloway <shannon.t.holloway at gmail.com>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
In views: CausalInference
CRAN checks: DTRreg results


Reference manual: DTRreg.pdf


Package source: DTRreg_2.2.tar.gz
Windows binaries: r-devel: DTRreg_2.2.zip, r-release: DTRreg_2.2.zip, r-oldrel: DTRreg_2.2.zip
macOS binaries: r-release (arm64): DTRreg_2.2.tgz, r-oldrel (arm64): DTRreg_2.2.tgz, r-release (x86_64): DTRreg_2.2.tgz, r-oldrel (x86_64): DTRreg_2.2.tgz
Old sources: DTRreg archive


Please use the canonical form https://CRAN.R-project.org/package=DTRreg to link to this page.