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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "causalMed" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'causalMed: Parametric G-Formula for Longitudinal Mediation and Total Effects'
version: 0.1.3
abstract: Causal mediation analysis for longitudinal data with time-varying exposures,
  mediators and confounders, covering both interventional (Lin et al. (2017) <https://doi.org/10.1002/sim.7426>)
  and natural (Zheng and van der Laan (2017) <https://doi.org/10.1515/jci-2016-0006>)
  direct and indirect effects. Estimation uses the parametric g-formula (Robins (1986)
  <https://doi.org/10.1016/0270-0255(86)90088-6>), which is also exposed directly
  so that counterfactual means or risks can be estimated under static, dynamic or
  time-varying hypothetical interventions.
authors:
- family-names: Dayimu
  given-names: Alimu
  email: ad938@cam.ac.uk
  orcid: https://orcid.org/0000-0001-9998-7463
- family-names: Guo
  given-names: Xingling
repository: https://cran.r-universe.dev
repository-code: https://github.com/adayim/causalMed
commit: 910cb66d3b42ff30c8fd4fdcb0f93fc1355fd24e
url: https://adayim.github.io/causalMed/
date-released: '2026-11-06'
contact:
- family-names: Dayimu
  given-names: Alimu
  email: ad938@cam.ac.uk
  orcid: https://orcid.org/0000-0001-9998-7463