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: |
2.3 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
graphics, nnet, R6, stats, utils |
| Published: |
2025-05-03 |
| DOI: |
10.32614/CRAN.package.DTRreg |
| Author: |
Michael Wallace [aut],
Erica E M Moodie [aut],
David A Stephens [aut],
Gabrielle Simoneau [aut],
Shannon T. Holloway [aut, cre],
Juliana Schulz [aut] |
| Maintainer: |
Shannon T. Holloway <shannon.t.holloway at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| In views: |
CausalInference |
| CRAN checks: |
DTRreg results |
Documentation:
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