Package: stantargets
Title: Targets for Stan Workflows
Description: Bayesian data analysis usually incurs long runtimes and
        cumbersome custom code. A pipeline toolkit tailored to Bayesian
        statisticians, the 'stantargets' R package leverages 'targets'
        and 'cmdstanr' to ease these burdens. 'stantargets' makes it
        super easy to set up scalable Stan 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. 'stantargets' can
        access all of 'cmdstanr''s major algorithms (MCMC, variational
        Bayes, and optimization) and it supports both single-fit
        workflows and multi-rep simulation studies. For the statistical
        methodology, please refer to 'Stan' documentation (Stan
        Development Team 2020) <https://mc-stan.org/>.
Version: 0.1.2
License: MIT + file LICENSE
URL: https://docs.ropensci.org/stantargets/,
        https://github.com/ropensci/stantargets,
        https://r-multiverse.org/topics/bayesian.html
BugReports: https://github.com/ropensci/stantargets/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 = "Krzysztof",
    family = "Sakrejda",
    role = "rev"
  ),
  person(
    given = c("Matthew", "T."),
    family = "Warkentin",
    role = "rev"
  ),
  person(
    family = "Eli Lilly and Company",
    role = "cph"
  ))
Depends: R (>= 3.5.0)
Imports: cmdstanr (>= 0.5.0), fs (>= 1.5.0), fst (>= 0.9.2), posterior
        (>= 1.0.1), purrr (>= 0.3.4), qs (>= 0.23.2), rlang (>=
        0.4.10), secretbase (>= 0.4.0), stats, targets (>= 1.6.0),
        tarchetypes (>= 0.8.0), tibble (>= 3.0.1), tidyselect, withr
        (>= 2.1.2)
Suggests: dplyr (>= 1.0.2), ggplot2 (>= 3.0.0), knitr (>= 1.30),
        R.utils (>= 2.10.1), rmarkdown (>= 2.3), SBC (>= 0.2.0),
        testthat (>= 3.0.0), tidyr (>= 1.0.0), visNetwork (>= 2.0.9)
Remotes: hyunjimoon/SBC, stan-dev/cmdstanr,
SystemRequirements: CmdStan >= 2.25.0
Encoding: UTF-8
Language: en-US
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/pak/sysreqs: libglpk-dev make libxml2-dev
Repository: https://r-multiverse-staging.r-universe.dev
Date/Publication: 2024-12-03 12:22:22 UTC
RemoteUrl: https://github.com/ropensci/stantargets
RemoteRef: 0.1.2
RemoteSha: 638326106594be70c5f851c767349e4192740771
NeedsCompilation: no
Packaged: 2026-04-08 09:03:11 UTC; root
Author: William Michael Landau [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-1878-3253>),
  Krzysztof Sakrejda [rev],
  Matthew T. Warkentin [rev],
  Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>