GNU bug report logs - #44033
[PATCH 1/3] gnu: Add r-decon.

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Package: guix-patches; Reported by: Aniket Patil <aniket112.patil@HIDDEN>; Keywords: patch; dated Fri, 16 Oct 2020 15:25:01 UTC; Maintainer for guix-patches is guix-patches@HIDDEN.

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From: Aniket Patil <aniket112.patil@HIDDEN>
To: guix-patches@HIDDEN
Subject: [PATCH 3/3] gnu: Add r-lpme.
Date: Fri, 16 Oct 2020 18:43:38 +0530
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* gnu/packages/cran.scm (r-lpme): New variable.
---
 gnu/packages/cran.scm | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)

diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 1529849211..27e5db1900 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -24638,3 +24638,30 @@ absolute GSEA.")
     (description
       "Computes local polynomial estimators for the regression and also density.  It comprises several different utilities to handle kernel estimators.")
     (license license:gpl2+)))
+
+(define-public r-lpme
+  (package
+    (name "r-lpme")
+    (version "1.1.1")
+    (source
+      (origin
+        (method url-fetch)
+        (uri (cran-uri "lpme" version))
+        (sha256
+          (base32
+            "0si90nkgl8bqk8yvd2igdsrngiwqh8891072pfpzipifnd0f5448"))))
+    (properties `((upstream-name . "lpme")))
+    (build-system r-build-system)
+    (propagated-inputs
+      `(("r-decon" ,r-decon)
+        ("r-flexmix" ,r-flexmix)
+        ("r-locpol" ,r-locpol)
+        ("r-rcpp" ,r-rcpp)
+        ("r-rcpparmadillo" ,r-rcpparmadillo)))
+    (home-page
+      "https://cran.r-project.org/web/packages/lpme")
+    (synopsis
+      "Nonparametric Estimation of Measurement Error Models")
+    (description
+      "Provide nonparametric methods for mean regression model, modal regression and conditional density estimation in the presence/absence of measurement error.  Bandwidth selection is also provided for each method.")
+    (license license:gpl2+)))
-- 
2.28.0





Information forwarded to guix-patches@HIDDEN:
bug#44033; Package guix-patches. Full text available.

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From: Aniket Patil <aniket112.patil@HIDDEN>
To: guix-patches@HIDDEN
Subject: [PATCH 2/3] gnu: Add r-locpol.
Date: Fri, 16 Oct 2020 18:43:37 +0530
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* gnu/packages/cran.scm (r-locpol): New variable.
---
 gnu/packages/cran.scm | 19 +++++++++++++++++++
 1 file changed, 19 insertions(+)

diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 0370cdd993..1529849211 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -24619,3 +24619,22 @@ absolute GSEA.")
       "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+)))
 
+(define-public r-locpol
+  (package
+    (name "r-locpol")
+    (version "0.7-0")
+    (source
+      (origin
+        (method url-fetch)
+        (uri (cran-uri "locpol" version))
+        (sha256
+          (base32
+            "1p915n0l09kbwkly627074jslxl01yssp1rf0c7sygvsw6sgy5lm"))))
+    (properties `((upstream-name . "locpol")))
+    (build-system r-build-system)
+    (home-page
+      "https://cran.r-project.org/web/packages/locpol")
+    (synopsis "Kernel Local Polynomial Regression")
+    (description
+      "Computes local polynomial estimators for the regression and also density.  It comprises several different utilities to handle kernel estimators.")
+    (license license:gpl2+)))
-- 
2.28.0





Information forwarded to guix-patches@HIDDEN:
bug#44033; Package guix-patches. Full text available.

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From: Aniket Patil <aniket112.patil@HIDDEN>
To: guix-patches@HIDDEN
Subject: [PATCH 1/3] gnu: Add r-decon.
Date: Fri, 16 Oct 2020 18:43:36 +0530
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* 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





Acknowledgement sent to Aniket Patil <aniket112.patil@HIDDEN>:
New bug report received and forwarded. Copy sent to guix-patches@HIDDEN. Full text available.
Report forwarded to guix-patches@HIDDEN:
bug#44033; Package guix-patches. Full text available.
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