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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 "lmtp" in publications use:'
type: software
license: AGPL-3.0-only
title: 'lmtp: Non-Parametric Causal Effects of Feasible Interventions Based on Modified
  Treatment Policies'
version: 1.4.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.lmtp
abstract: Non-parametric estimators for casual effects based on longitudinal modified
  treatment policies as described in Diaz, Williams, Hoffman, and Schenck <https://doi.org/10.1080/01621459.2021.1955691>,
  traditional point treatment, and traditional longitudinal effects. Continuous, binary,
  categorical treatments, and multivariate treatments are allowed as well are censored
  outcomes. The treatment mechanism is estimated via a density ratio classification
  procedure irrespective of treatment variable type. For both continuous and binary
  outcomes, additive treatment effects can be calculated and relative risks and odds
  ratios may be calculated for binary outcomes.
authors:
- family-names: Williams
  given-names: Nicholas
  email: ntwilliams.personal@gmail.com
  orcid: https://orcid.org/0000-0002-1378-4831
- family-names: Díaz
  given-names: Iván
  email: Ivan.Diaz@nyulangone.org
  orcid: https://orcid.org/0000-0001-9056-2047
preferred-citation:
  type: article
  title: 'lmtp: An R package for estimating the causal effects of modified treatment
    policies'
  authors:
  - family-names: Williams
    given-names: Nicholas
    email: ntwilliams.personal@gmail.com
    orcid: https://orcid.org/0000-0002-1378-4831
  - family-names: Díaz
    given-names: Iván
    email: Ivan.Diaz@nyulangone.org
    orcid: https://orcid.org/0000-0001-9056-2047
  journal: Observational Studies
  year: '2023'
  url: https://muse.jhu.edu/article/883479
repository: https://CRAN.R-project.org/package=lmtp
repository-code: https://github.com/nt-williams/lmtp
url: https://beyondtheate.com/
date-released: '2024-06-27'
contact:
- family-names: Williams
  given-names: Nicholas
  email: ntwilliams.personal@gmail.com
  orcid: https://orcid.org/0000-0002-1378-4831
references:
- type: article
  title: Non-parametric causal effects based on longitudinal modified treatment policies
  authors:
  - family-names: Díaz
    given-names: Iván
  - family-names: Williams
    given-names: Nicholas
  - family-names: Hoffman
    given-names: Katherine
  - family-names: Schneck
    given-names: Edward
  journal: Journal of the American Statistical Association
  year: '2021'
  doi: 10.1080/01621459.2021.1955691