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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+)))
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