Package: jagstargets
Title: Targets for JAGS Pipelines
Description: 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: 1.2.3
License: MIT + file LICENSE
URL: https://docs.ropensci.org/jagstargets/,
        https://github.com/ropensci/jagstargets,
        https://r-multiverse.org/topics/bayesian.html
BugReports: https://github.com/ropensci/jagstargets/issues
Authors@R: c(
  person(
    given = c("William", "Michael"),
    family = "Landau",
    role = c("aut", "cre"),
    email = "will.landau.oss@gmail.com",
    comment = c(ORCID = "0000-0003-1878-3253")
  ),
  person(
    given = c("David", "Lawrence"),
    family = "Miller",
    role = "rev",
    email = "dave@ninepointeightone.net"
  ),
  person(
    family = "Eli Lilly and Company",
    role = "cph"
  ))
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)
SystemRequirements: JAGS 4.x.y (https://mcmc-jags.sourceforge.net)
Encoding: UTF-8
Language: en-US
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/pak/sysreqs: cmake libglpk-dev make jags libicu-dev libuv1-dev
        libxml2-dev
Repository: https://r-multiverse-staging.r-universe.dev
Date/Publication: 2024-12-03 12:24:52 UTC
RemoteUrl: https://github.com/ropensci/jagstargets
RemoteRef: fef92d0d74f6e9832459ce4bee69396bca21fd3f
RemoteSha: fef92d0d74f6e9832459ce4bee69396bca21fd3f
NeedsCompilation: no
Packaged: 2026-05-29 19:39:46 UTC; root
Author: William Michael Landau [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-1878-3253>),
  David Lawrence Miller [rev],
  Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>