Package: causalweight Title: Estimation Methods for Causal Inference Based on Inverse Probability Weighting and Doubly Robust Estimation Version: 1.1.6 Authors@R: c(person(given = "Hugo", family = "Bodory", role = c("aut", "cre"), email = "hugo.bodory@unisg.ch", comment = c(ORCID = "0000-0002-3645-1204")), person(given = "Martin", family = "Huber", role = "aut", email = "martin.huber@unifr.ch", comment = c(ORCID = "0000-0002-8590-9402")), person(given = "Jannis", family = "Kueck", role = "aut", email = "jannis.kueck@uni-hamburg.de", comment = c(ORCID = "0000-0003-4367-0285"))) Maintainer: Hugo Bodory Description: 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). License: MIT + file LICENSE Encoding: UTF-8 LazyData: true Depends: R (>= 3.5.0), ranger Imports: mvtnorm, np, stats, utils, hdm, clubSandwich, glmnet, xgboost, kernlab, fastDummies, grf, checkmate, nnls, sandwich Config/roxygen2/version: 8.1.0 NeedsCompilation: no Packaged: 2026-09-27 12:07:29 UTC; root Author: Hugo Bodory [aut, cre] (ORCID: ), Martin Huber [aut] (ORCID: ), Jannis Kueck [aut] (ORCID: ) Config/pak/sysreqs: make libicu-dev Repository: https://hugometric.r-universe.dev Date/Publication: 2026-09-25 08:30:09 UTC RemoteUrl: https://github.com/cran/causalweight RemoteRef: HEAD RemoteSha: 84b6412a13a2b7953e73ae2cacc8b696f7a6a18a