gnu: Add r-zim.
* gnu/packages/cran.scm (r-zim): New variable.
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@ -11288,3 +11288,31 @@ are linear, logistic and Poisson regression and the Cox Proportional Hazards
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model. Cross-validation routines allow optimization of the tuning
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model. Cross-validation routines allow optimization of the tuning
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parameters.")
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parameters.")
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(license license:gpl2+)))
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(license license:gpl2+)))
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(define-public r-zim
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(package
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(name "r-zim")
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(version "1.1.0")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "ZIM" version))
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(sha256
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(base32
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"0scyfjn4ilsvha3x41c3b8bcfi31hlhwm77wn2a8hj5dsvnnmzig"))))
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(properties `((upstream-name . "ZIM")))
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(build-system r-build-system)
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(propagated-inputs `(("r-mass" ,r-mass)))
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(home-page "https://github.com/biostatstudio/ZIM")
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(synopsis "Zero-inflated models (ZIM) for count time series with excess zeros")
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(description
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"Analyze count time series with excess zeros. Two types of statistical
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models are supported: Markov regression and state-space models. They are also
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known as observation-driven and parameter-driven models respectively in the
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time series literature. The functions used for Markov regression or
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observation-driven models can also be used to fit ordinary regression models
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with independent data under the zero-inflated Poisson (ZIP) or zero-inflated
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negative binomial (ZINB) assumption. The package also contains miscellaneous
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functions to compute density, distribution, quantile, and generate random
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numbers from ZIP and ZINB distributions.")
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(license license:gpl3)))
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