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@ -19766,3 +19766,39 @@ offers additional cost functions, cross validation, and other extensions
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beyond traditional structural equation models. It also contains a function to
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perform @dfn{exploratory mediation} (XMed).")
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(license license:gpl2+)))
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(define-public r-stanheaders
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(package
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(name "r-stanheaders")
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(version "2.19.0")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "StanHeaders" version))
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(sha256
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(base32
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"0kyka130sin4nbji7p840394ynhmaynv9jyi94ddbplj83i2nhx3"))))
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(properties `((upstream-name . "StanHeaders")))
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(build-system r-build-system)
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(inputs `(("pandoc" ,ghc-pandoc)))
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(native-inputs `(("gfortran" ,gfortran)))
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(home-page "https://mc-stan.org/")
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(synopsis "C++ header files for Stan")
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(description
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"The C++ header files of the Stan project are provided by this package.
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There is a shared object containing part of the @code{CVODES} library, but it
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is not accessible from R. @code{r-stanheaders} is only useful for developers
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who want to utilize the @code{LinkingTo} directive of their package's
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DESCRIPTION file to build on the Stan library without incurring unnecessary
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dependencies.
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The Stan project develops a probabilistic programming language that implements
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full or approximate Bayesian statistical inference via Markov Chain Monte
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Carlo or variational methods and implements (optionally penalized) maximum
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likelihood estimation via optimization. The Stan library includes an advanced
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automatic differentiation scheme, templated statistical and linear algebra
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functions that can handle the automatically differentiable scalar types (and
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doubles, ints, etc.), and a parser for the Stan language. The @code{r-rstan}
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package provides user-facing R functions to parse, compile, test, estimate,
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and analyze Stan models.")
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(license license:bsd-3)))
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