# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "jagstargets" in publications use:' type: software license: MIT title: 'jagstargets: Targets for JAGS Pipelines' version: 1.2.3 identifiers: - type: doi value: 10.32614/CRAN.package.jagstargets - type: url value: https://r-multiverse.org/topics/bayesian.html abstract: Bayesian data analysis usually incurs long runtimes and cumbersome custom code. A pipeline toolkit tailored to Bayesian statisticians, the 'jagstargets' R package is leverages 'targets' and 'R2jags' to ease this burden. 'jagstargets' makes it super easy to set up scalable JAGS 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. For the underlying methodology, please refer to the documentation of 'targets' and 'JAGS' (Plummer 2003) . 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 jagstargets R package: a reproducible workflow framework for Bayesian data analysis with JAGS' 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: '68' url: https://doi.org/10.21105/joss.03877 start: '3877' repository: https://r-multiverse.r-universe.dev repository-code: https://github.com/ropensci/jagstargets commit: fef92d0d74f6e9832459ce4bee69396bca21fd3f url: https://docs.ropensci.org/jagstargets/ contact: - family-names: Landau given-names: William Michael email: will.landau.oss@gmail.com orcid: https://orcid.org/0000-0003-1878-3253