# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "causalweight" in publications use:' type: software license: MIT title: 'causalweight: Estimation Methods for Causal Inference Based on Inverse Probability Weighting and Doubly Robust Estimation' version: 1.1.3 doi: 10.32614/CRAN.package.causalweight abstract: 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) , Huber (2012) , Huber (2014) , Huber (2014) , Froelich and Huber (2017) , Hsu, Huber, Lee, and Lettry (2020) , and others. authors: - family-names: Bodory given-names: Hugo email: hugo.bodory@unisg.ch orcid: https://orcid.org/0000-0002-3645-1204 - family-names: Huber given-names: Martin email: martin.huber@unifr.ch orcid: https://orcid.org/0000-0002-8590-9402 - family-names: Kueck given-names: Jannis email: jannis.kueck@uni-hamburg.de orcid: https://orcid.org/0000-0003-4367-0285 repository: https://hugometric.r-universe.dev commit: 371bbe897d76960902697c55467fc2b1a95494c9 date-released: '2025-03-26' contact: - family-names: Bodory given-names: Hugo email: hugo.bodory@unisg.ch orcid: https://orcid.org/0000-0002-3645-1204