Userfacing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the headeronly 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.
Package details 


Author  Jiqiang Guo [aut], Jonah Gabry [aut], Ben Goodrich [cre, aut], 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 OehlschlaegelAkiyoshi [cph] (R/pairs.R) 
Maintainer  Ben Goodrich <[email protected]> 
License  GPL (>= 3) 
Version  2.18.2 
URL  http://discourse.mcstan.org http://mcstan.org 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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