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jagstargets: Targets for JAGS Pipelines

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>.

Version: 1.2.0
Depends: R (≥ 3.5.0)
Imports: coda (≥ 0.19.4), fst (≥ 0.9.2), posterior (≥ 1.0.1), purrr (≥ 0.3.4), qs (≥ 0.23.2), 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), R.utils (≥ 2.10.1), rmarkdown (≥ 2.3), testthat (≥ 3.0.0), tidyr (≥ 1.1.2), visNetwork (≥ 2.0.9)
Published: 2024-04-17
Author: William Michael Landau ORCID iD [aut, cre], David Lawrence Miller [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss at gmail.com>
BugReports: https://github.com/ropensci/jagstargets/issues
License: MIT + file LICENSE
URL: https://docs.ropensci.org/jagstargets/, https://github.com/ropensci/jagstargets
NeedsCompilation: no
SystemRequirements: JAGS 4.x.y (https://mcmc-jags.sourceforge.net)
Language: en-US
Citation: jagstargets citation info
Materials: NEWS
CRAN checks: jagstargets results

Documentation:

Reference manual: jagstargets.pdf
Vignettes: Introduction to jagstargets
Bayesian simulation pipelines with jagstargets

Downloads:

Package source: jagstargets_1.2.0.tar.gz
Windows binaries: r-devel: jagstargets_1.2.0.zip, r-release: jagstargets_1.2.0.zip, r-oldrel: jagstargets_1.2.0.zip
macOS binaries: r-release (arm64): jagstargets_1.2.0.tgz, r-oldrel (arm64): jagstargets_1.2.0.tgz, r-release (x86_64): jagstargets_1.2.0.tgz, r-oldrel (x86_64): jagstargets_1.2.0.tgz
Old sources: jagstargets archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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