# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "stantargets" in publications use:' type: software license: MIT title: 'stantargets: Targets for Stan Workflows' version: 0.1.1 identifiers: - type: doi value: 10.32614/CRAN.package.stantargets abstract: Bayesian data analysis usually incurs long runtimes and cumbersome custom code. A pipeline toolkit tailored to Bayesian statisticians, the 'stantargets' R package leverages 'targets' and 'cmdstanr' to ease these burdens. 'stantargets' makes it super easy to set up scalable Stan pipelines that automatically parallelize the computation and skip expensive steps when the results are already up to date. Minimal custom code is required, and there is no need to manually configure branching, so usage is much easier than 'targets' alone. 'stantargets' can access all of 'cmdstanr''s major algorithms (MCMC, variational Bayes, and optimization) and it supports both single-fit workflows and multi-rep simulation studies. For the statistical methodology, please refer to 'Stan' documentation (Stan Development Team 2020) . authors: - family-names: Landau given-names: William Michael email: will.landau.oss@gmail.com orcid: https://orcid.org/0000-0003-1878-3253 preferred-citation: type: article title: 'The stantargets R package: a workflow framework for efficient reproducible Stan-powered Bayesian data analysis pipelines' authors: - family-names: Landau given-names: William Michael email: will.landau.oss@gmail.com orcid: https://orcid.org/0000-0003-1878-3253 journal: Journal of Open Source Software year: '2021' volume: '6' issue: '60' url: https://doi.org/10.21105/joss.03193 start: '3193' repository: https://test.r-universe.dev repository-code: https://github.com/ropensci/stantargets commit: bbdda1b4a44a3d6a22041e03eed38f27319d8f32 url: https://docs.ropensci.org/stantargets/ contact: - family-names: Landau given-names: William Michael email: will.landau.oss@gmail.com orcid: https://orcid.org/0000-0003-1878-3253