rstan
type: Item
swMATH work ID: 16103
instance of: R package
software version identifier: 2.21.8
software version identifier: 2.32.5
CRAN project: rstan
maintained by: Ben Goodrich
programmed in: R
last update: 2024-01-10T00:00:00Z
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.
author: Jiqiang Guo
author: Jonah Gabry
author: Ben Goodrich
author: Andrew Johnson
author: Sebastian Weber
author: Hamada S. Badr
copyright license: GNU General Public License
depends on software: StanHeaders
depends on software: R
imports: methods
imports: stats4
imports: inline
imports: gridExtra
imports: Rcpp
imports: RcppParallel
imports: loo
imports: pkgbuild
imports: QuickJSR
imports: ggplot2
MaRDI profile type: Software
source code repository: rstan
description: R Interface to Stan