Targets for JAGS Pipelines R package jagstargets version 1.2.2 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' <doi:10.21105/joss.02959> and 'JAGS' (Plummer 2003) <https://www.r-project.org/conferences/DSC-2003/Proceedings/Plummer.pdf>. Software Depends: R (>= 3.5.0) Imports: coda (>= 0.19.4), fst (>= 0.9.2), posterior (>= 1.0.1), purrr (>= 0.3.4), qs2, R2jags (>= 0.6.1), rjags (>= 4.10), rlang (>= 0.4.10), secretbase (>= 0.4.0), stats, targets (>= 1.6.0), tarchetypes (>= 0.8.0), tibble (>= 3.0.1), tidyselect, tools, utils, withr (>= 2.1.2), Suggests: dplyr (>= 1.0.2), fs (>= 1.5.0), knitr (>= 1.30), qs (>= 0.23.2), R.utils (>= 2.10.1), rmarkdown (>= 2.3), testthat (>= 3.0.0), tidyr (>= 1.1.2), visNetwork (>= 2.0.9) William Michael Landau <will.landau.oss@gmail.com> Comprehensive R Archive Network (CRAN) William Michael Landau [aut, cre] (ORCID: <https://orcid.org/0000-0003-1878-3253>), David Lawrence Miller [rev], Eli Lilly and Company [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=jagstargets/LICENSE) 2024-11-18 application/tgz https://CRAN.R-project.org/package=jagstargets doi:10.32614/CRAN.package.jagstargets en-US