The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.