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: 1.2.2
License: MIT + file LICENSE
URL: https://docs.ropensci.org/jagstargets/,
        https://github.com/ropensci/jagstargets
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
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-11-18 14:11:44 UTC; C240390
Author: William Michael Landau [aut, cre]
    (<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>
Repository: CRAN
Date/Publication: 2024-11-18 14:50:02 UTC
