# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "precmed" in publications use:' type: software license: Apache-2.0 title: 'precmed: Precision Medicine' version: 1.1.0 doi: 10.32614/CRAN.package.precmed abstract: A doubly robust precision medicine approach to fit, cross-validate and visualize prediction models for the conditional average treatment effect (CATE). It implements doubly robust estimation and semiparametric modeling approach of treatment-covariate interactions as proposed by Yadlowsky et al. (2020) . authors: - family-names: Tian given-names: Lu email: lutian@stanford.edu orcid: https://orcid.org/0000-0002-5893-0169 - family-names: Jiang given-names: Xiaotong email: xiaotong.phoebe.jiang@gmail.com orcid: https://orcid.org/0000-0003-3698-4526 - family-names: Simoneau given-names: Gabrielle email: gabrielle.simoneau@mail.mcgill.ca orcid: https://orcid.org/0000-0001-9310-6274 - family-names: Debray given-names: Thomas email: tdebray@fromdatatowisdom.com orcid: https://orcid.org/0000-0002-1790-2719 repository: https://CRAN.R-project.org/package=precmed repository-code: https://github.com/smartdata-analysis-and-statistics/precmed url: https://smartdata-analysis-and-statistics.github.io/precmed/ date-released: '2024-10-05' contact: - family-names: Debray given-names: Thomas email: tdebray@fromdatatowisdom.com orcid: https://orcid.org/0000-0002-1790-2719