DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv) R package DTRreg version 2.4 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) 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>. Software Depends: R (>= 4.1.0) Imports: ggplot2, ggplotify, graphics, nnet, R6, stats, utils Shannon T. Holloway <shannon.t.holloway@gmail.com> Comprehensive R Archive Network (CRAN) Michael Wallace [aut], Erica E M Moodie [aut], David A Stephens [aut], Gabrielle Simoneau [aut], Shannon T. Holloway [aut, cre], Juliana Schulz [aut] GPL-2 2026-05-13 application/tgz https://CRAN.R-project.org/package=DTRreg doi:10.32614/CRAN.package.DTRreg