Package: causalweight
Title: Estimation Methods for Causal Inference Based on Inverse
        Probability Weighting
Version: 1.1.2
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. The models refer to studies of Froelich (2007) <doi:10.1016/j.jeconom.2006.06.004>, Huber (2012) <doi:10.3102/1076998611411917>, Huber (2014) <doi:10.1080/07474938.2013.806197>, Huber (2014) <doi:10.1002/jae.2341>, Froelich and Huber (2017) <doi:10.1111/rssb.12232>, Hsu, Huber, Lee, and Lettry (2020)  <doi:10.1002/jae.2765>, and others.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Depends: R (>= 3.5.0), ranger
Imports: mvtnorm, np, LARF, hdm, SuperLearner, glmnet, xgboost, e1071,
        fastDummies, grf, checkmate
NeedsCompilation: no
Packaged: 2025-03-22 11:32:30 UTC; HBodory
Author: Hugo Bodory [aut, cre] (<https://orcid.org/0000-0002-3645-1204>),
  Martin Huber [aut] (<https://orcid.org/0000-0002-8590-9402>),
  Jannis Kueck [aut] (<https://orcid.org/0000-0003-4367-0285>)
Repository: CRAN
Date/Publication: 2025-03-22 11:50:02 UTC
Built: R 4.5.0; ; 2025-03-22 13:07:18 UTC; unix
