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@ -4787,3 +4787,29 @@ dictionaries in Python but with a purposefully R flavor. For objects of
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appreciable size, access using hashes outperforms native named lists and
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appreciable size, access using hashes outperforms native named lists and
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vectors.")
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vectors.")
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(license license:gpl2+)))
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(license license:gpl2+)))
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(define-public r-proc
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(package
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(name "r-proc")
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(version "1.12.1")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "pROC" version))
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(sha256
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(base32
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"05ad69a6fxy9k903cw3h4q59ch2jv6qfg9yjdbw3cgiiazcafrlj"))))
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(properties `((upstream-name . "pROC")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-ggplot2" ,r-ggplot2)
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("r-plyr" ,r-plyr)
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("r-rcpp" ,r-rcpp)))
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(home-page "http://expasy.org/tools/pROC/")
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(synopsis "Display and analyze ROC curves")
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(description
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"This package provides tools for visualizing, smoothing and comparing
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receiver operating characteristic (ROC curves). The area under the
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curve (AUC) can be compared with statistical tests based on U-statistics or
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bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.")
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(license license:gpl3+)))
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