From 419a8a186f87308e6092067ad01b4f80199dd629 Mon Sep 17 00:00:00 2001 From: Ricardo Wurmus Date: Thu, 24 Nov 2016 15:41:17 +0100 Subject: gnu: Add r-rocr. * gnu/packages/statistics.scm (r-rocr): New variable. --- gnu/packages/statistics.scm | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) (limited to 'gnu/packages/statistics.scm') diff --git a/gnu/packages/statistics.scm b/gnu/packages/statistics.scm index f014f16a97..c2d46f29d4 100644 --- a/gnu/packages/statistics.scm +++ b/gnu/packages/statistics.scm @@ -3685,6 +3685,36 @@ including: @end itemize\n") (license license:gpl2+))) +(define-public r-rocr + (package + (name "r-rocr") + (version "1.0-7") + (source + (origin + (method url-fetch) + (uri (cran-uri "ROCR" version)) + (sha256 + (base32 + "1jay8cm7lgq56i967vm5c2hgaxqkphfpip0gn941li3yhh7p3vz7")))) + (properties `((upstream-name . "ROCR"))) + (build-system r-build-system) + (propagated-inputs + `(("r-gplots" ,r-gplots))) + (home-page "http://rocr.bioinf.mpi-sb.mpg.de/") + (synopsis "Visualizing the performance of scoring classifiers") + (description + "ROCR is a flexible tool for creating cutoff-parameterized 2D performance +curves by freely combining two from over 25 performance measures (new +performance measures can be added using a standard interface). Curves from +different cross-validation or bootstrapping runs can be averaged by different +methods, and standard deviations, standard errors or box plots can be used to +visualize the variability across the runs. The parameterization can be +visualized by printing cutoff values at the corresponding curve positions, or +by coloring the curve according to cutoff. All components of a performance +plot can be quickly adjusted using a flexible parameter dispatching +mechanism.") + (license license:gpl2+))) + (define-public r-kernsmooth (package (name "r-kernsmooth") -- cgit v1.2.3