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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.

copied from cf-post-staging / r-rstan
Type Size Name Uploaded Downloads Labels
conda 2.3 MB | osx-64/r-rstan-2.19.3-r36hc5da6b9_1.tar.bz2  5 years and 3 months ago 422 main
conda 2.4 MB | osx-64/r-rstan-2.19.3-r40hc5da6b9_1.tar.bz2  5 years and 3 months ago 420 main
conda 2.2 MB | linux-64/r-rstan-2.19.3-r36h0357c0b_1.tar.bz2  5 years and 3 months ago 5382 main
conda 2.3 MB | linux-64/r-rstan-2.19.3-r40h0357c0b_1.tar.bz2  5 years and 3 months ago 4321 main
conda 2.3 MB | osx-64/r-rstan-2.19.3-r36hc5da6b9_0.tar.bz2  5 years and 6 months ago 559 main cf202003
conda 2.3 MB | osx-64/r-rstan-2.19.3-r35hc5da6b9_0.tar.bz2  5 years and 6 months ago 404 main cf202003
conda 2.2 MB | linux-64/r-rstan-2.19.3-r36h0357c0b_0.tar.bz2  5 years and 6 months ago 4762 main cf202003
conda 2.2 MB | linux-64/r-rstan-2.19.3-r35h0357c0b_0.tar.bz2  5 years and 6 months ago 5010 main cf202003

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