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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 |
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These binaries (installable software) and packages are in development.
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