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author | Ricardo Wurmus <rekado@elephly.net> | 2019-12-14 11:29:56 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2019-12-14 13:35:57 +0100 |
commit | 5458490ebb2aa5fbb5d72ce8468791669bc634ca (patch) | |
tree | 8225cebba57db94a854e5a678ad71a916119b5ef /gnu/packages/cran.scm | |
parent | 09e9ad334ac15ddea7e440cb1737f2c687f5c43a (diff) | |
download | guix-5458490ebb2aa5fbb5d72ce8468791669bc634ca.tar.gz |
gnu: Add r-tolerance.
* gnu/packages/cran.scm (r-tolerance): New variable.
Diffstat (limited to 'gnu/packages/cran.scm')
-rw-r--r-- | gnu/packages/cran.scm | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 855a3c956e..cc0f876d85 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -18375,3 +18375,33 @@ 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+))) + +(define-public r-tolerance + (package + (name "r-tolerance") + (version "1.3.0") + (source + (origin + (method url-fetch) + (uri (cran-uri "tolerance" version)) + (sha256 + (base32 + "17qh4ad1f3fbcpwlxxqh8qr9bnwjcl4yxk0l3fkbr6b2l4rc5p86")))) + (properties `((upstream-name . "tolerance"))) + (build-system r-build-system) + (propagated-inputs + `(("r-rgl" ,r-rgl))) + (home-page "https://cran.r-project.org/web/packages/tolerance/") + (synopsis "Statistical tolerance intervals and regions") + (description + "This package provides functions for estimating tolerance +limits (intervals) for various univariate distributions (binomial, Cauchy, +discrete Pareto, exponential, two-parameter exponential, extreme value, +hypergeometric, Laplace, logistic, negative binomial, negative hypergeometric, +normal, Pareto, Poisson-Lindley, Poisson, uniform, and Zipf-Mandelbrot), +Bayesian normal tolerance limits, multivariate normal tolerance regions, +nonparametric tolerance intervals, tolerance bands for regression +settings (linear regression, nonlinear regression, nonparametric regression, +and multivariate regression), and analysis of variance tolerance intervals. +Visualizations are also available for most of these settings.") + (license license:gpl2+))) |