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-rw-r--r--gn/packages/lmm.scm70
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+(define-module (gn packages lmm)
+ #:use-module ((guix licenses) #:prefix license:)
+ #:use-module (guix packages)
+ #:use-module (guix utils)
+ #:use-module (guix download)
+ #:use-module (guix git-download)
+ #:use-module (guix build-system gnu)
+ #:use-module (guix build-system cmake)
+ #:use-module (guix build-system perl)
+ #:use-module (guix build-system python)
+ #:use-module (guix build-system ruby)
+ #:use-module (guix build-system r)
+ #:use-module (guix build-system trivial)
+ #:use-module (gnu packages)
+ #:use-module (gnu packages algebra)
+ #:use-module (gnu packages base)
+ #:use-module (gnu packages bioinformatics)
+ #:use-module (gnu packages boost)
+ #:use-module (gnu packages compression)
+ #:use-module (gnu packages cpio)
+ #:use-module (gnu packages file)
+ #:use-module (gnu packages gcc)
+ #:use-module (gnu packages java)
+ #:use-module (gnu packages linux)
+ #:use-module (gnu packages machine-learning)
+ #:use-module (gnu packages maths)
+ #:use-module (gnu packages ncurses)
+ #:use-module (gnu packages perl)
+ #:use-module (gnu packages pkg-config)
+ #:use-module (gnu packages popt)
+ #:use-module (gnu packages protobuf)
+ #:use-module (gnu packages python)
+ #:use-module (gnu packages ruby)
+ #:use-module (gnu packages statistics)
+ #:use-module (gnu packages tbb)
+ #:use-module (gnu packages textutils)
+ #:use-module (gnu packages vim)
+ #:use-module (gnu packages web)
+ #:use-module (gnu packages xml)
+ #:use-module (gnu packages zip)
+ #:use-module (gnu packages bootstrap)
+ #:use-module (srfi srfi-1))
+
+(define-public r-emma ; guix potential candidate (not in CRAN)
+ (package
+ (name "r-emma")
+ (version "1.1.2")
+ (source (origin
+ (method url-fetch)
+ (uri (string-append
+ "http://mouse.cs.ucla.edu/emma/emma_"
+ version ".tar.gz"))
+ (sha256
+ (base32
+ "0m9lhjawfqxw7hlcghxc1bs5bh0645wq9gr1lz7gagxlphjlcj2p"))))
+ (build-system r-build-system)
+ ; (propagated-inputs
+ ; `(("r-clustersim" ,r-clustersim)
+ ; ("r-earth" ,r-earth)))
+ (home-page
+ "http://mouse.cs.ucla.edu/emma/")
+ (synopsis
+ "Evolutionary model-based multiresponse approach")
+ (description
+ "Non CRAN update of the evolutionary model-based multiresponse
+approach (EMMA) is a novel methodology to process optimisation and
+product improvement. The approach is suitable to contexts in which
+the experimental cost and/or time limit the number of implementable
+trials.")
+ (license license:gpl2+)))