From: Aniket Patil <aniket112.patil@gmail.com>
To: 44033@debbugs.gnu.org
Cc: Aniket Patil <aniket112.patil@gmail.com>
Subject: [bug#44033] [PATCH 1/3] gnu: Add r-decon.
Date: Fri, 16 Oct 2020 18:43:36 +0530 [thread overview]
Message-ID: <20201016131338.62737-1-aniket112.patil@gmail.com> (raw)
In-Reply-To: <aniket112.patil@gmail.com>
* gnu/packages/cran.scm (r-decon): New variable.
---
gnu/packages/cran.scm | 23 +++++++++++++++++++++++
1 file changed, 23 insertions(+)
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 59a409f8e9..0370cdd993 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -24596,3 +24596,26 @@ enrichment analysis (GSEA) calculation with or without the absolute filtering.
Without filtering, users can perform (original) two-tailed or one-tailed
absolute GSEA.")
(license license:gpl2)))
+
+(define-public r-decon
+ (package
+ (name "r-decon")
+ (version "1.2-4")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "decon" version))
+ (sha256
+ (base32
+ "1v4l0xq29rm8mks354g40g9jxn0didzlxg3g7z08m0gvj29zdj7s"))))
+ (properties `((upstream-name . "decon")))
+ (build-system r-build-system)
+ (native-inputs `(("gfortran" ,gfortran)))
+ (home-page
+ "https://cran.r-project.org/web/packages/decon")
+ (synopsis
+ "Deconvolution Estimation in Measurement Error Models")
+ (description
+ "This package contains a collection of functions to deal with nonparametric measurement error problems using deconvolution kernel methods. We focus two measurement error models in the package: (1) an additive measurement error model, where the goal is to estimate the density or distribution function from contaminated data; (2) nonparametric regression model with errors-in-variables. The R functions allow the measurement errors to be either homoscedastic or heteroscedastic. To make the deconvolution estimators computationally more efficient in R, we adapt the \"Fast Fourier Transform\" (FFT) algorithm for density estimation with error-free data to the deconvolution kernel estimation. Several methods for the selection of the data-driven smoothing parameter are also provided in the package. See details in: Wang, X.F. and Wang, B. (2011). Deconvolution estimation in measurement error models: The R package decon. Journal of Statistical Software, 39(10), 1-24.")
+ (license license:gpl3+)))
+
--
2.28.0
next reply other threads:[~2020-10-16 15:32 UTC|newest]
Thread overview: 6+ messages / expand[flat|nested] mbox.gz Atom feed top
2020-10-16 13:13 Aniket Patil [this message]
2020-10-16 13:13 ` [bug#44033] [PATCH 2/3] gnu: Add r-locpol Aniket Patil
2020-10-16 13:13 ` [bug#44033] [PATCH 3/3] gnu: Add r-lpme Aniket Patil
2020-10-19 12:09 ` [bug#44033] [PATCH 1/3] gnu: Add r-decon zimoun
2020-10-19 12:27 ` Aniket Patil
[not found] ` <CAF-xJgsF_M7R7nrPtP4iXL7yxqz6r09G-cNpJ0+VDsDYqTj6Zg@mail.gmail.com>
2020-10-22 7:59 ` zimoun
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