gnu: Add r-decon.
* gnu/packages/cran.scm (r-decon): New variable. Signed-off-by: Leo Famulari <leo@famulari.name>
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@ -32,6 +32,7 @@
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;;; Copyright © 2020 Arun Isaac <arunisaac@systemreboot.net>
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;;; Copyright © 2020 Magali Lemes <magalilemes00@gmail.com>
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;;; Copyright © 2020 Simon Tournier <zimon.toutoune@gmail.com>
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;;; Copyright © 2020 Aniket Patil <aniket112.patil@gmail.com>
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;;;
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;;; This file is part of GNU Guix.
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;;;
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@ -25174,6 +25175,43 @@ (define-public r-calculus
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parabolic or user defined by custom scale factors.")
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(license license:gpl3)))
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(define-public r-decon
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(package
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(name "r-decon")
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(version "1.2-4")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "decon" version))
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(sha256
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(base32
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"1v4l0xq29rm8mks354g40g9jxn0didzlxg3g7z08m0gvj29zdj7s"))))
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(properties `((upstream-name . "decon")))
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(build-system r-build-system)
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(native-inputs
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`(("gfortran" ,gfortran)))
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(home-page
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"https://cran.r-project.org/web/packages/decon/")
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(synopsis "Deconvolution Estimation in Measurement Error Models")
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(description
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"This package contains a collection of functions to deal with
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nonparametric measurement error problems using deconvolution
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kernel methods. We focus two measurement error models in the
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package: (1) an additive measurement error model, where the
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goal is to estimate the density or distribution function from
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contaminated data; (2) nonparametric regression model with
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errors-in-variables. The R functions allow the measurement errors
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to be either homoscedastic or heteroscedastic. To make the
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deconvolution estimators computationally more efficient in R,
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we adapt the \"Fast Fourier Transform\" (FFT) algorithm for
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density estimation with error-free data to the deconvolution
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kernel estimation. Several methods for the selection of the
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data-driven smoothing parameter are also provided in the package.
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See details in: Wang, X.F. and Wang, B. (2011). Deconvolution
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estimation in measurement error models: The R package decon.
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Journal of Statistical Software, 39(10), 1-24.")
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(license license:gpl3+)))
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(define-public r-aws-signature
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(package
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(name "r-aws-signature")
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