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author | Ricardo Wurmus <rekado@elephly.net> | 2017-09-11 02:55:53 +0200 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2017-09-18 11:33:25 +0200 |
commit | ba4527ab94484ab7c01139428cb713708c0148e0 (patch) | |
tree | 348860b91593040c2f8c49a17ed4eec99751ddda /gnu | |
parent | 6c3d42d61339f6728d7fec4e688caee24183ffc0 (diff) | |
download | guix-ba4527ab94484ab7c01139428cb713708c0148e0.tar guix-ba4527ab94484ab7c01139428cb713708c0148e0.tar.gz |
gnu: Add r-recipes.
* gnu/packages/cran.scm (r-recipes): New variable.
Diffstat (limited to 'gnu')
-rw-r--r-- | gnu/packages/cran.scm | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index b42e791e95..691ed59aab 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -1177,3 +1177,40 @@ provided.") classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.") (license license:gpl2+))) + +(define-public r-recipes + (package + (name "r-recipes") + (version "0.1.0") + (source + (origin + (method url-fetch) + (uri (cran-uri "recipes" version)) + (sha256 + (base32 + "0rydk403qihxmcv3zz323r3ywk4g1v7ibvj452rxhm0z22sqk9kb")))) + (build-system r-build-system) + (propagated-inputs + `(("r-ddalpha" ,r-ddalpha) + ("r-dimred" ,r-dimred) + ("r-dplyr" ,r-dplyr) + ("r-gower" ,r-gower) + ("r-ipred" ,r-ipred) + ("r-lubridate" ,r-lubridate) + ("r-magrittr" ,r-magrittr) + ("r-purrr" ,r-purrr) + ("r-rcpproll" ,r-rcpproll) + ("r-rlang" ,r-rlang) + ("r-tibble" ,r-tibble) + ("r-tidyselect" ,r-tidyselect) + ("r-timedate" ,r-timedate))) + (home-page "https://github.com/topepo/recipes") + (synopsis "Preprocessing tools to create design matrices") + (description + "Recipes is an extensible framework to create and preprocess design +matrices. Recipes consist of one or more data manipulation and analysis +\"steps\". Statistical parameters for the steps can be estimated from an +initial data set and then applied to other data sets. The resulting design +matrices can then be used as inputs into statistical or machine learning +models.") + (license license:gpl2))) |