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rstan

swMATH ID: 16103
Software Authors: Jiqiang Guo, Jonah Gabry, Ben Goodrich, Daniel Lee, Krzysztof Sakrejda, Oleg Sklyar, Jens Oehlschlaegel-Akiyoshi, Hadley Wickham, Joel de Guzman, John Fletcher, Thomas Heller, Eric Niebler
Description: R package rstan. 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.
Homepage: https://cran.r-project.org/web/packages/rstan/index.html
Source Code:  https://github.com/cran/rstan
Dependencies: R
Keywords: CRAN; R package; Interface; Stan
Related Software: RStan; R; Stan; BayesDA; JAGS; NUTS; CODA; brms; bridgesampling; loo; lme4; GitHub; spBayes; Rcpp; bayesplot; ggplot2; StanHeaders; lavaan; rstanarm; tsbridge
Cited in: 64 Documents
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Cited by 190 Authors

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2 Quijano Xacur, Oscar Alberto
2 Wand, Matthew P.
2 Zhang, Jing
1 Abdel-Ghaly, Abdalla A.
1 Abdel-Rahman, Elham
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1 Alkema, Leontine
1 Aly, Hanan M.
1 Asar, Ozgur
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1 Banerjee, Sudipto
1 Barbaro, Ryan P.
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1 Bazán, Jorge Luis
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1 Blagus, Rok
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1 Boonstra, Philip S.
1 Botsas, Themistoklis
1 Bradley, Jonathan R.
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1 Bürkner, Paul-Christian
1 Cai, Yan
1 Chan, Duo
1 Chan, Jennifer So Kuen
1 Chen, Wilson Ye
1 Chen, Yiyang
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1 Colegate, Stephen P.
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1 Cordoba, Karen Rosana
1 Costa, Eliardo G.
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1 Flohr, Rob
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1 Fu, Zhihui
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1 Gabry, Jonah
1 Galeano, Pedro
1 Gallardo, Diego I.
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1 Gin, Brian
1 Gómez, Yolanda M.
1 Gutman, Roee
1 Hasenauer, Jan
1 Hauer, Mathew E.
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1 Khorramdel, Lale
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1 Kroehne, Ulf
1 Lahti, Leo
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