@@ 4233,3 4233,27 @@ all data handling, while the M-step can be supplied by the user to easily
define new models. Existing drivers implement mixtures of standard linear
models, generalized linear models and model-based clustering.")
(license license:gpl2+)))
+
+(define-public r-mclust
+ (package
+ (name "r-mclust")
+ (version "5.2.2")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "mclust" version))
+ (sha256
+ (base32
+ "19cbg7p5h2b6h9mvcx9rjppyd3awma18ymaljakbnclpvhwbqpwd"))))
+ (build-system r-build-system)
+ (native-inputs
+ `(("gfortran" ,gfortran)))
+ (home-page "http://www.stat.washington.edu/mclust/")
+ (synopsis "Gaussian mixture modelling for model-based clustering etc.")
+ (description
+ "This package provides Gaussian finite mixture models fitted via EM
+algorithm for model-based clustering, classification, and density estimation,
+including Bayesian regularization, dimension reduction for visualisation,
+and resampling-based inference.")
+ (license license:gpl2+)))
+