# --------------------------------------------
# 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'
version: 1.1.1
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) <https://doi.org/10.1016/j.jeconom.2006.06.004>, Huber
  (2012) <https://doi.org/10.3102/1076998611411917>, Huber (2014) <https://doi.org/10.1080/07474938.2013.806197>,
  Huber (2014) <https://doi.org/10.1002/jae.2341>, Froelich and Huber (2017) <https://doi.org/10.1111/rssb.12232>,
  Hsu, Huber, Lee, and Lettry (2020) <https://doi.org/10.1002/jae.2765>, 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: ff0abf5b975f397bcfff258a9e17c78bb3a9a766
date-released: '2024-07-23'
contact:
- family-names: Bodory
  given-names: Hugo
  email: hugo.bodory@unisg.ch
  orcid: https://orcid.org/0000-0002-3645-1204