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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "causaloptim" in publications use:'
type: software
license: MIT
title: 'causaloptim: An Interface to Specify Causal Graphs and Compute Bounds on Causal
  Effects'
version: 1.0.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.causaloptim
abstract: When causal quantities are not identifiable from the observed data, it still
  may be possible to bound these quantities using the observed data. We outline a
  class of problems for which the derivation of tight bounds is always a linear programming
  problem and can therefore, at least theoretically, be solved using a symbolic linear
  optimizer. We extend and generalize the approach of Balke and Pearl (1994) <https://doi.org/10.1016/B978-1-55860-332-5.50011-0>
  and we provide a user friendly graphical interface for setting up such problems
  via directed acyclic graphs (DAG), which only allow for problems within this class
  to be depicted. The user can then define linear constraints to further refine their
  assumptions to meet their specific problem, and then specify a causal query using
  a text interface. The program converts this user defined DAG, query, and constraints,
  and returns tight bounds. The bounds can be converted to R functions to evaluate
  them for specific datasets, and to latex code for publication. The methods and proofs
  of tightness and validity of the bounds are described in a paper by Sachs, Jonzon,
  Gabriel, and Sjölander (2022) <https://doi.org/10.1080/10618600.2022.2071905>.
authors:
- family-names: Sachs
  given-names: Michael C
  email: sachsmc@gmail.com
- family-names: Gabriel
  given-names: Erin E
- family-names: Sjölander
  given-names: Arvid
- family-names: Jonzon
  given-names: Gustav
preferred-citation:
  type: manual
  title: 'causaloptim: An Interface to Specify Causal Graphs and Compute Bounds on
    Causal Effects'
  authors:
  - family-names: Sachs
    given-names: Michael C
    email: sachsmc@gmail.com
  - family-names: Gabriel
    given-names: Erin E
  - family-names: Sjölander
    given-names: Arvid
  - family-names: Jonzon
    given-names: Gustav
  year: '2024'
  notes: R package version 1.0.0
  url: https://CRAN.R-project.org/package=causaloptim
repository: https://CRAN.R-project.org/package=causaloptim
repository-code: https://github.com/sachsmc/causaloptim/issues/
url: https://sachsmc.github.io/causaloptim/
date-released: '2024-10-16'
contact:
- family-names: Sachs
  given-names: Michael C
  email: sachsmc@gmail.com
references:
- type: article
  title: A general method for deriving tight symbolic bounds on causal effects
  authors:
  - family-names: Sachs
    given-names: Michael C
  - family-names: Jonzon
    given-names: Gustav
  - family-names: Gabriel
    given-names: Erin E
  - family-names: Sjölander
    given-names: Arvid
  year: '2022'
  journal: Journal of Computational and Graphical Statistics
  publisher:
    name: Taylor \& Francis
  doi: 10.1080/10618600.2022.2071905
  start: '1'
  end: '10'