# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "cia" in publications use:' type: software license: MIT title: 'cia: Learn and Apply Directed Acyclic Graphs for Causal Inference' version: 1.1.0 doi: 10.5281/zenodo.14176795 identifiers: - type: doi value: 10.32614/CRAN.package.cia abstract: Causal Inference Assistance (CIA) for performing causal inference within the structural causal modelling framework. Structure learning is performed using partition Markov chain Monte Carlo (Kuipers & Moffa, 2017) and several additional functions have been added to help with causal inference. Kuipers and Moffa (2017) . authors: - family-names: Varidel given-names: Mathew email: mathew.varidel@sydney.edu.au orcid: https://orcid.org/0000-0002-1648-8317 preferred-citation: type: manual title: 'CIA: Learn and Apply Directed Acyclic Graphs for Causal Inference' authors: - family-names: Varidel given-names: Mathew email: mathew.varidel@sydney.edu.au orcid: https://orcid.org/0000-0002-1648-8317 doi: 10.5281/zenodo.14176795 publisher: name: Zenodo year: '2024' repository: https://spaceodyssey.r-universe.dev repository-code: https://github.com/SpaceOdyssey/cia commit: 39589e1a09e97a195912d789a259d788edd4f748 url: https://spaceodyssey.github.io/cia/ contact: - family-names: Varidel given-names: Mathew email: mathew.varidel@sydney.edu.au orcid: https://orcid.org/0000-0002-1648-8317