Package: rstan
Type: Package
Title: R Interface to Stan
Version: 2.15.1
Date: 2017-04-19
Authors@R: c(person("Jiqiang", "Guo", email = "guojq28@gmail.com", role = "aut"),
             person("Jonah", "Gabry", email = "jsg2201@columbia.edu", role = "aut"),
             person("Ben", "Goodrich", email = "benjamin.goodrich@columbia.edu", role = c("cre", "aut")),
             person("Daniel", "Lee", role = "ctb"),
             person("Krzysztof", "Sakrejda", 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("Hadley", "Wickham", role = "cph", comment = "R/rtools.R"),
             person("Joel", "de Guzman", role = "cph", comment = "Boost"),
             person("John", "Fletcher", role = "cph",  comment = "Boost"),
             person("Thomas", "Heller", role = "cph",  comment = "Boost"),
             person("Eric", "Niebler", role = "cph",   comment = "Boost"))
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, gridExtra (>= 2.0.0), Rcpp (>=
        0.12.0)
Depends: R (>= 3.0.2), ggplot2 (>= 2.0.0), StanHeaders (>= 2.15.0)
LinkingTo: Rcpp (>= 0.12.0), RcppEigen, BH (>= 1.62), StanHeaders (>=
        2.15.0)
Suggests: RUnit, RcppEigen, BH (>= 1.62), parallel, KernSmooth, loo (>=
        1.0.0), shinystan (>= 2.2.1), bayesplot, rstantools,
        rstudioapi, Matrix, knitr (>= 1.15.1)
URL: https://groups.google.com/forum/#!forum/stan-users,
        http://mc-stan.org
BugReports: https://github.com/stan-dev/rstan/issues/
VignetteBuilder: knitr
SystemRequirements: pandoc
Packaged: 2017-04-19 05:03:57 UTC; goodrich
Author: Jiqiang Guo [aut],
  Jonah Gabry [aut],
  Ben Goodrich [cre, aut],
  Daniel Lee [ctb],
  Krzysztof Sakrejda [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),
  Hadley Wickham [cph] (R/rtools.R),
  Joel de Guzman [cph] (Boost),
  John Fletcher [cph] (Boost),
  Thomas Heller [cph] (Boost),
  Eric Niebler [cph] (Boost)
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>
Repository: CRAN
Date/Publication: 2017-04-19 09:15:39 UTC
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 05:41:01 UTC; windows
Archs: i386, x64
