Package: rstan
Type: Package
Title: R Interface to Stan
Version: 2.39.0.9000
Authors@R: c(person("Jiqiang", "Guo", email = "guojq28@gmail.com", role = "aut"),
             person("Jonah", "Gabry", email = "jgabry@gmail.com", role = "aut"),
             person("Ben", "Goodrich", email = "benjamin.goodrich@columbia.edu", role = c("cre", "aut")),
             person("Andrew", "Johnson", email = "andrew.johnson@arjohnsonau.com", role = "aut"),
             person("Sebastian", "Weber", email = "sdw.post@waebers.de", role = "aut"),
             person("Hamada S.", "Badr", role = c("aut"),
                    email = "badr@jhu.edu",
                    comment = c(ORCID = "0000-0002-9808-2344")),
             person("Daniel", "Lee", role = "ctb"),
             person("Krzysztof", "Sakrejda", role = "ctb"),
             person("Modrak", "Martin", role = "ctb"),
             person("Trustees of", "Columbia University", role = "cph"),
             person("Oleg", "Sklyar", role = "cph", comment = "R/cxxfunplus.R"),
             person("The R", "Core Team", role = "cph", comment = "R/pairs.R, R/dynGet.R"),
             person("Jens", "Oehlschlaegel-Akiyoshi", role = "cph", comment = "R/pairs.R"),
             person("John", "Maddock", role = "cph", comment = "gamma.hpp"),
             person("Paul", "Bristow", role = "cph", comment = "gamma.hpp"),
             person("Nikhar", "Agrawal", role = "cph", comment = "gamma.hpp"),
             person("Christopher", "Kormanyos", role = "cph", comment = "gamma.hpp"),
             person("Bronder", "Steve", role = "ctb"))
Description: User-facing R functions are provided to parse, compile,
        test, estimate, and analyze Stan models by accessing the
        header-only Stan library provided by the 'StanHeaders' package.
        The Stan project develops a probabilistic programming language
        that implements full Bayesian statistical inference via Markov
        Chain Monte Carlo, rough Bayesian inference via 'variational'
        approximation, and (optionally penalized) maximum likelihood
        estimation via optimization. In all three cases, automatic
        differentiation is used to quickly and accurately evaluate
        gradients without burdening the user with the need to derive
        the partial derivatives.
License: GPL (>=3)
NeedsCompilation: yes
Imports: methods, stats4, inline (>= 0.3.19), gridExtra (>= 2.3), Rcpp
        (>= 1.0.7), RcppParallel (>= 5.1.4), loo (>= 2.4.1), pkgbuild
        (>= 1.2.0), QuickJSR, ggplot2 (>= 3.3.5)
Depends: R (>= 3.4.0), StanHeaders (>= 2.36.0)
LinkingTo: Rcpp (>= 1.0.7), RcppEigen (>= 0.3.3.9.3), BH (>= 1.75.0-0),
        StanHeaders (>= 2.36.0), RcppParallel (>= 5.1.4)
Suggests: testthat (>= 3.0.4), parallel, KernSmooth, shinystan,
        bayesplot, rmarkdown, rstantools, rstudioapi, Matrix, knitr,
        coda, V8
URL: https://mc-stan.org/rstan/, https://discourse.mc-stan.org
BugReports: https://github.com/stan-dev/rstan/issues/
VignetteBuilder: knitr
SystemRequirements: GNU make, pandoc
Encoding: UTF-8
RoxygenNote: 7.1.2
Config/testthat/edition: 3
Config/build/compilation-database: true
Config/pak/sysreqs: make
Repository: https://stan-dev.r-universe.dev
Date/Publication: 2026-07-21 15:58:08 UTC
RemoteUrl: https://github.com/stan-dev/rstan
RemoteRef: develop
RemoteSha: 45fd91f945203431810bfa889d891cf7ec724ff1
RemoteSubdir: rstan/rstan
Packaged: 2026-07-21 16:20:18 UTC; root
Author: Jiqiang Guo [aut],
  Jonah Gabry [aut],
  Ben Goodrich [cre, aut],
  Andrew Johnson [aut],
  Sebastian Weber [aut],
  Hamada S. Badr [aut] (ORCID: <https://orcid.org/0000-0002-9808-2344>),
  Daniel Lee [ctb],
  Krzysztof Sakrejda [ctb],
  Modrak Martin [ctb],
  Trustees of Columbia University [cph],
  Oleg Sklyar [cph] (R/cxxfunplus.R),
  The R Core Team [cph] (R/pairs.R, R/dynGet.R),
  Jens Oehlschlaegel-Akiyoshi [cph] (R/pairs.R),
  John Maddock [cph] (gamma.hpp),
  Paul Bristow [cph] (gamma.hpp),
  Nikhar Agrawal [cph] (gamma.hpp),
  Christopher Kormanyos [cph] (gamma.hpp),
  Bronder Steve [ctb]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>