# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "greta" in publications use:' type: software license: Apache-2.0 title: 'greta: Simple and ''Scalable'' Statistical Modelling in R' version: 0.6.0 doi: 10.21105/joss.01601 abstract: Write statistical models in R and fit them by 'MCMC' and optimisation on 'CPUs' and 'GPUs', using Google 'TensorFlow'. 'greta' lets you write your own model like in 'BUGS', 'JAGS' and 'Stan', except that you write models right in R, it scales well to massive datasets, and it’s easy to extend and build on. See the website for more information, including tutorials, examples, package documentation, and the 'greta' forum. This work is discussed at Golding (2019) . authors: - family-names: Golding given-names: Nick email: nick.golding.research@gmail.com orcid: https://orcid.org/0000-0001-8916-5570 - family-names: Tierney given-names: Nicholas email: nicholas.tierney@gmail.com orcid: https://orcid.org/0000-0003-1460-8722 preferred-citation: type: article title: 'greta: simple and scalable statistical modelling in R' authors: - family-names: Golding given-names: Nick email: nick.golding.research@gmail.com orcid: https://orcid.org/0000-0001-8916-5570 journal: Journal of Open Source Software year: '2019' volume: '4' issue: '40' doi: 10.21105/joss.01601 start: '1601' repository: https://cran.r-universe.dev repository-code: https://github.com/greta-dev/greta commit: 89cb030cc612c3c1d875a43decdfc7e51c654dc9 url: https://greta-dev.github.io/greta/ date-released: '2026-07-20' contact: - family-names: Tierney given-names: Nicholas email: nicholas.tierney@gmail.com orcid: https://orcid.org/0000-0003-1460-8722