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# CITATION 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 "tmle3mediate" in publications use:'
type: software
license: GPL-3.0-only
title: 'tmle3mediate: Targeted Learning for Causal Mediation Analysis'
version: 0.0.3
abstract: Targeted maximum likelihood (TML) estimation of population-level causal
  effects in mediation analysis. The causal effects are defined by joint static or
  stochastic interventions applied to the exposure and the mediator. Targeted doubly
  robust estimators are provided for the classical natural direct and indirect effects,
  as well as the more recently developed population intervention direct and indirect
  effects.
authors:
- family-names: Hejazi
  given-names: Nima
  email: nh@nimahejazi.org
  orcid: https://orcid.org/0000-0002-7127-2789
- family-names: Duncan
  given-names: James
  email: jpduncan@berkeley.edu
- family-names: McCoy
  given-names: David
  email: david_mccoy@berkeley.edu
preferred-citation:
  type: manual
  title: 'tmle3mediate: Targeted Learning for causal mediation analysis'
  authors:
  - family-names: Hejazi
    given-names: Nima
    email: nh@nimahejazi.org
    orcid: https://orcid.org/0000-0002-7127-2789
  - family-names: Duncan
    given-names: James
    email: jpduncan@berkeley.edu
  - family-names: McCoy
    given-names: David
    email: david_mccoy@berkeley.edu
  - family-names: Coyle
    given-names: Jeremy
  year: '2024'
  notes: R package version 0.0.3
  url: https://github.com/tlverse/tmle3mediate
repository: https://tlverse.r-universe.dev
repository-code: https://github.com/tlverse/tmle3mediate
commit: 70d1151c4adb54d044f355d06d07bcaeb7f8ae07
url: https://tlverse.org/tmle3mediate
contact:
- family-names: Hejazi
  given-names: Nima
  email: nh@nimahejazi.org
  orcid: https://orcid.org/0000-0002-7127-2789