# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "beastt" in publications use:' type: software license: GPL-3.0-or-later title: 'beastt: Bayesian Evaluation, Analysis, and Simulation Software Tools for Trials' version: 0.0.3 doi: 10.32614/CRAN.package.beastt abstract: Bayesian dynamic borrowing with covariate adjustment via inverse probability weighting for simulations and data analyses in clinical trials. This makes it easy to use propensity score methods to balance covariate distributions between external and internal data. This methodology based on Psioda et al (2025) . authors: - family-names: Fillmore given-names: Christina email: christina.e.fillmore@gsk.com orcid: https://orcid.org/0000-0003-0595-2302 - family-names: Bean given-names: Nate email: nate.w.bean@gsk.com orcid: https://orcid.org/0000-0001-9946-0119 - family-names: Terry given-names: Abi email: abigail.h.terry@gsk.com - family-names: Arancibia given-names: Ben email: benjamin.c.arancibia@gsk.com repository: https://cran.r-universe.dev repository-code: https://github.com/GSK-Biostatistics/beastt commit: ce6c5d4a4c6b8e842cdf4ca6c012b183467e16e1 url: https://gsk-biostatistics.github.io/beastt/ date-released: '2025-05-15' contact: - family-names: Fillmore given-names: Christina email: christina.e.fillmore@gsk.com orcid: https://orcid.org/0000-0003-0595-2302