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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 "tmle3shift" in publications use:'
type: software
license: GPL-3.0-only
title: 'tmle3shift: Targeted Learning of the Causal Effects of Stochastic Interventions'
version: 0.2.2
doi: 10.5281/zenodo.4603372
abstract: Targeted maximum likelihood estimation (TMLE) of population-level causal
  effects under stochastic treatment regimes and related nonparametric variable importance
  analyses. Tools are provided for TML estimation of the counterfactual mean under
  a stochastic intervention characterized as a modified treatment policy, such as
  treatment policies that shift the natural value of the exposure. The causal parameter
  and estimation were described in Díaz and van der Laan (2013) <https://doi.org/10.1111/j.1541-0420.2011.01685.x>
  and an improved estimation approach was given by Díaz and van der Laan (2018) <https://doi.org/10.1007/978-3-319-65304-4_14>.
authors:
- family-names: Hejazi
  given-names: Nima
  email: nh@nimahejazi.org
  orcid: https://orcid.org/0000-0002-7127-2789
- family-names: Coyle
  given-names: Jeremy
  email: jeremy.coyle@gmail.com
  orcid: https://orcid.org/0000-0002-9874-6649
- family-names: Laan
  given-names: Mark
  name-particle: van der
  email: laan@berkeley.edu
  orcid: https://orcid.org/0000-0003-1432-5511
preferred-citation:
  type: manual
  title: 'tmle3shift: Targeted Learning of the Causal Effects of Stochastic Interventions'
  authors:
  - family-names: Hejazi
    given-names: Nima S
  - family-names: Coyle
    given-names: Jeremy R
  - family-names: Laan
    given-names: Mark J
    name-particle: van der
  year: '2024'
  notes: R package version 0.2.2
  doi: 10.5281/zenodo.4603372
  url: https://github.com/tlverse/tmle3shift
repository: https://ictml-project.r-universe.dev
repository-code: https://github.com/tlverse/tmle3shift
commit: 0c3b8f07d8f5282332fbb822ea12b216f708f7c3
url: https://tlverse.org/tmle3shift
contact:
- family-names: Hejazi
  given-names: Nima
  email: nh@nimahejazi.org
  orcid: https://orcid.org/0000-0002-7127-2789