gnu: Add r-recipes.
* gnu/packages/cran.scm (r-recipes): New variable.
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@ -1177,3 +1177,40 @@ provided.")
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classification and bagging for classification, regression and survival
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classification and bagging for classification, regression and survival
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problems as well as resampling based estimators of prediction error.")
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problems as well as resampling based estimators of prediction error.")
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(license license:gpl2+)))
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(license license:gpl2+)))
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(define-public r-recipes
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(package
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(name "r-recipes")
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(version "0.1.0")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "recipes" version))
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(sha256
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(base32
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"0rydk403qihxmcv3zz323r3ywk4g1v7ibvj452rxhm0z22sqk9kb"))))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-ddalpha" ,r-ddalpha)
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("r-dimred" ,r-dimred)
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("r-dplyr" ,r-dplyr)
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("r-gower" ,r-gower)
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("r-ipred" ,r-ipred)
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("r-lubridate" ,r-lubridate)
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("r-magrittr" ,r-magrittr)
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("r-purrr" ,r-purrr)
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("r-rcpproll" ,r-rcpproll)
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("r-rlang" ,r-rlang)
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("r-tibble" ,r-tibble)
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("r-tidyselect" ,r-tidyselect)
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("r-timedate" ,r-timedate)))
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(home-page "https://github.com/topepo/recipes")
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(synopsis "Preprocessing tools to create design matrices")
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(description
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"Recipes is an extensible framework to create and preprocess design
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matrices. Recipes consist of one or more data manipulation and analysis
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\"steps\". Statistical parameters for the steps can be estimated from an
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initial data set and then applied to other data sets. The resulting design
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matrices can then be used as inputs into statistical or machine learning
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models.")
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(license license:gpl2)))
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