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@ -19965,3 +19965,25 @@ in undirected graphical models for continuous, discrete, and mixed data. It
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uses a trans-dimensional @dfn{Markov Chain Monte Carlo} (MCMC) approach based
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uses a trans-dimensional @dfn{Markov Chain Monte Carlo} (MCMC) approach based
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on a continuous-time birth-death process.")
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on a continuous-time birth-death process.")
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(license license:gpl2+)))
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(license license:gpl2+)))
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(define-public r-ggm
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(package
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(name "r-ggm")
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(version "2.3")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "ggm" version))
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(sha256
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(base32
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"1n4y459x2i0jil8chjjqqjs28a8pzfxrws2fcjkg3il7zy0zwbw3"))))
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(properties `((upstream-name . "ggm")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-igraph" ,r-igraph)))
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(home-page "https://cran.r-project.org/package=ggm")
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(synopsis "Functions for graphical Markov models")
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(description
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"This package provides functions and datasets for maximum likelihood
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fitting of some classes of graphical Markov models.")
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(license license:gpl2+)))
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