Package: causalweight
Title: Estimation Methods for Causal Inference Based on Inverse
        Probability Weighting and Doubly Robust Estimation
Version: 1.1.5
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 <hugo.bodory@unisg.ch>
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
RoxygenNote: 7.2.3
Depends: R (>= 3.5.0), ranger
Imports: mvtnorm, np, hdm, SuperLearner, glmnet, xgboost, e1071,
        fastDummies, grf, checkmate, sandwich
NeedsCompilation: no
Packaged: 2026-06-08 05:18:13 UTC; HuberMar
Author: 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>)
Repository: CRAN
Date/Publication: 2026-06-08 06:40:08 UTC
Built: R 4.6.1; ; 2026-06-30 04:03:06 UTC; windows
