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