From 09e9ad334ac15ddea7e440cb1737f2c687f5c43a Mon Sep 17 00:00:00 2001 From: Ricardo Wurmus Date: Sat, 14 Dec 2019 11:29:40 +0100 Subject: gnu: Add r-univoutl. * gnu/packages/cran.scm (r-univoutl): New variable. --- gnu/packages/cran.scm | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) (limited to 'gnu/packages') diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index bebf4acbe4..855a3c956e 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -18349,3 +18349,29 @@ e.g. knapsack and subset sum procedures, derivative-free Nelder-Mead and Hooke-Jeeves minimization, and some (evolutionary) global optimization functions.") (license license:gpl3+))) + +(define-public r-univoutl + (package + (name "r-univoutl") + (version "0.1-5") + (source + (origin + (method url-fetch) + (uri (cran-uri "univOutl" version)) + (sha256 + (base32 + "193wrpkvgmlrx43nag8w3ivrlqm37nm6g86wcvd3bgw3hchs70gi")))) + (properties `((upstream-name . "univOutl"))) + (build-system r-build-system) + (propagated-inputs + `(("r-hmisc" ,r-hmisc) + ("r-robustbase" ,r-robustbase))) + (home-page "https://github.com/marcellodo/univOutl") + (synopsis "Detection of univariate outliers") + (description + "This package provides well-known outlier detection techniques in the +univariate case. Methods to deal with skewed distribution are included too. +The Hidiroglou-Berthelot (1986) method to search for outliers in ratios of +historical data is implemented as well. When available, survey weights can be +used in outliers detection.") + (license license:gpl2+))) -- cgit 1.4.1