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author | Ricardo Wurmus <rekado@elephly.net> | 2018-03-08 23:29:15 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2018-03-08 23:31:56 +0100 |
commit | 661bb51e668a239372dbc4df582b73ca356e38bc (patch) | |
tree | 91be226c8c497232dc19b55695ad9b318e5e9395 | |
parent | fc784b6672eb8d21e1cb52dda1fd32c1bc4ae9a2 (diff) | |
download | guix-661bb51e668a239372dbc4df582b73ca356e38bc.tar.gz guix-661bb51e668a239372dbc4df582b73ca356e38bc.zip |
gnu: Add r-vim.
* gnu/packages/cran.scm (r-vim): New variable.
-rw-r--r-- | gnu/packages/cran.scm | 38 |
1 files changed, 38 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 4b63c0f644..efb612e34f 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -3108,3 +3108,41 @@ curve is done by a non-linear piecewise function. In addition to the areas under the curves, the curves themselves can also be computed and plotted by a specific S3-method.") (license license:gpl3))) + +(define-public r-vim + (package + (name "r-vim") + (version "4.7.0") + (source + (origin + (method url-fetch) + (uri (cran-uri "VIM" version)) + (sha256 + (base32 + "1vjcs5wvjv94ln01d94h9rs4j50d3ky4n26mm3prgh13raylrmnd")))) + (properties `((upstream-name . "VIM"))) + (build-system r-build-system) + (propagated-inputs + `(("r-car" ,r-car) + ("r-colorspace" ,r-colorspace) + ("r-data-table" ,r-data-table) + ("r-e1071" ,r-e1071) + ("r-laeken" ,r-laeken) + ("r-mass" ,r-mass) + ("r-nnet" ,r-nnet) + ("r-rcpp" ,r-rcpp) + ("r-robustbase" ,r-robustbase) + ("r-sp" ,r-sp) + ("r-vcd" ,r-vcd))) + (home-page "https://github.com/alexkowa/VIM") + (synopsis "Visualization and imputation of missing values") + (description + "This package provides tools for the visualization of missing and/or +imputed values are introduced, which can be used for exploring the data and +the structure of the missing and/or imputed values. Depending on this +structure of the missing values, the corresponding methods may help to +identify the mechanism generating the missing values and allows to explore the +data including missing values. In addition, the quality of imputation can be +visually explored using various univariate, bivariate, multiple and +multivariate plot methods.") + (license license:gpl2+))) |