Estimation Methods for Causal Inference Based on Inverse Probability Weighting and Doubly Robust Estimation R package causalweight version 1.1.5 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) Various estimators of causal effects based on inverse probability weighting, doubly robust estimation, and double machine learning. Specifically, the package includes methods for estimating average treatment effects, direct and indirect effects in causal mediation analysis, and dynamic treatment effects based on different identification strategies (unconfoundedness, instruments, difference-in-differences, regression discontinuity designs). Software Depends: R (>= 3.5.0), ranger Imports: mvtnorm, np, hdm, SuperLearner, glmnet, xgboost, e1071, fastDummies, grf, checkmate, sandwich Hugo Bodory <hugo.bodory@unisg.ch> Comprehensive R Archive Network (CRAN) Hugo Bodory [aut, cre] (ORCID: <https://orcid.org/0000-0002-3645-1204>), Martin Huber [aut] (ORCID: <https://orcid.org/0000-0002-8590-9402>), Jannis Kueck [aut] (ORCID: <https://orcid.org/0000-0003-4367-0285>) MIT + file LICENSE (https://CRAN.R-project.org/package=causalweight/LICENSE) 2026-06-08 application/tgz https://CRAN.R-project.org/package=causalweight doi:10.32614/CRAN.package.causalweight