From 5570804a69f6cf8a69f6da24411c99b129130893 Mon Sep 17 00:00:00 2001 From: Ricardo Wurmus Date: Tue, 12 Mar 2019 22:27:29 +0100 Subject: gnu: Add r-zim. * gnu/packages/cran.scm (r-zim): New variable. --- gnu/packages/cran.scm | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) (limited to 'gnu/packages') diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 0c789dd69f..b41e456735 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -11288,3 +11288,31 @@ are linear, logistic and Poisson regression and the Cox Proportional Hazards model. Cross-validation routines allow optimization of the tuning parameters.") (license license:gpl2+))) + +(define-public r-zim + (package + (name "r-zim") + (version "1.1.0") + (source + (origin + (method url-fetch) + (uri (cran-uri "ZIM" version)) + (sha256 + (base32 + "0scyfjn4ilsvha3x41c3b8bcfi31hlhwm77wn2a8hj5dsvnnmzig")))) + (properties `((upstream-name . "ZIM"))) + (build-system r-build-system) + (propagated-inputs `(("r-mass" ,r-mass))) + (home-page "https://github.com/biostatstudio/ZIM") + (synopsis "Zero-inflated models (ZIM) for count time series with excess zeros") + (description + "Analyze count time series with excess zeros. Two types of statistical +models are supported: Markov regression and state-space models. They are also +known as observation-driven and parameter-driven models respectively in the +time series literature. The functions used for Markov regression or +observation-driven models can also be used to fit ordinary regression models +with independent data under the zero-inflated Poisson (ZIP) or zero-inflated +negative binomial (ZINB) assumption. The package also contains miscellaneous +functions to compute density, distribution, quantile, and generate random +numbers from ZIP and ZINB distributions.") + (license license:gpl3))) -- cgit v1.2.3