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03/41: gnu: Add r-vbsr.


From: guix-commits
Subject: 03/41: gnu: Add r-vbsr.
Date: Wed, 9 Jan 2019 09:44:52 -0500 (EST)

rekado pushed a commit to branch master
in repository guix.

commit 029425cbcefe427bd4816110780acc5566ea9785
Author: Ricardo Wurmus <address@hidden>
Date:   Wed Jan 9 14:11:32 2019 +0100

    gnu: Add r-vbsr.
    
    * gnu/packages/cran.scm (r-vbsr): New variable.
---
 gnu/packages/cran.scm | 22 ++++++++++++++++++++++
 1 file changed, 22 insertions(+)

diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 87fd7d3..1839ead 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -8927,3 +8927,25 @@ few eigenvalues/vectors of an n by n matrix, e.g., the k 
largest eigenvalues,
 which is usually more efficient than @code{eigen()} if k << n.")
     ;; MPL 2 or later.
     (license license:mpl2.0)))
+
+(define-public r-vbsr
+  (package
+    (name "r-vbsr")
+    (version "0.0.5")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (cran-uri "vbsr" version))
+       (sha256
+        (base32
+         "1avskbxxyinjjdga4rnghcfvd4sypv4m39ysfaij5avvmi89bx3b"))))
+    (build-system r-build-system)
+    (home-page "https://cran.r-project.org/web/packages/vbsr";)
+    (synopsis "Variational Bayes spike regression regularized linear models")
+    (description
+     "This package provides an efficient algorithm for solving ultra-sparse
+regularized regression models using a variational Bayes algorithm with a spike
+prior.  The algorithm is solved on a path, with coordinate updates, and is
+capable of generating very sparse models.  Very general model
+diagnostics for controlling type-1 errors are also provided.")
+    (license license:gpl2)))



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