Package: r-cran-rstan
Version: 2.32.7-3
Architecture: amd64
Architecture-Variant: amd64v3
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 6188
Depends: r-api-4.0, r-cran-stanheaders (>= 2.32.0), r-cran-inline (>= 0.3.19), r-cran-gridextra (>= 2.3), r-cran-rcpp (>= 1.0.7), r-cran-rcppparallel (>= 5.1.4), r-cran-loo (>= 2.4.1), r-cran-pkgbuild (>= 1.2.0), r-cran-quickjsr, r-cran-ggplot2 (>= 3.3.5), r-cran-rcppeigen (>= 0.3.4.0.0), r-cran-bh (>= 1.75.0-0), libc6 (>= 2.38), libgcc-s1 (>= 4.0), libstdc++6 (>= 14), libtbb12 (>= 2021.4.0), build-essential, r-pkg-team-core-architecture
Recommends: r-cran-testthat (>= 3.0.4), r-cran-kernsmooth, r-cran-shinystan, r-cran-bayesplot, r-cran-rmarkdown, r-cran-rstantools, r-cran-rstudioapi, r-cran-matrix, r-cran-knitr, r-cran-coda, r-cran-v8
Section: gnu-r
Priority: optional
Homepage: https://cran.r-project.org/package=rstan
Description: R Interface to Stan
 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.
