rekado pushed a commit to branch master
in repository guix.
commit 1bd46f55207f5940131e37678bdd10ccff1dd56d
Author: Ricardo Wurmus <[email protected]>
Date: Thu Nov 24 15:15:27 2016 +0100
gnu: Add r-fastcluster.
* gnu/packages/statistics.scm (r-fastcluster): New variable.
---
gnu/packages/statistics.scm | 25 +++++++++++++++++++++++++
1 file changed, 25 insertions(+)
diff --git a/gnu/packages/statistics.scm b/gnu/packages/statistics.scm
index d2ca35e..3c2bd0c 100644
--- a/gnu/packages/statistics.scm
+++ b/gnu/packages/statistics.scm
@@ -3539,6 +3539,31 @@ hierarchical clustering dendrograms.")
routines.")
(license license:lgpl2.0+)))
+(define-public r-fastcluster
+ (package
+ (name "r-fastcluster")
+ (version "1.1.20")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "fastcluster" version))
+ (sha256
+ (base32
+ "0rlbxhh894znf10x0xgkv9dzpibgq9jw5aqpgviccdnxc2c5hwid"))))
+ (build-system r-build-system)
+ (home-page "http://danifold.net/fastcluster.html";)
+ (synopsis "Fast hierarchical clustering routines")
+ (description
+ "This package implements fast hierarchical, agglomerative clustering
+routines. Part of the functionality is designed as drop-in replacement for
+existing routines: @code{linkage()} in the SciPy package
+@code{scipy.cluster.hierarchy}, @code{hclust()} in R's @code{stats} package,
+and the @code{flashClust} package. It provides the same functionality with
+the benefit of a much faster implementation. Moreover, there are
+memory-saving routines for clustering of vector data, which go beyond what the
+existing packages provide.")
+ (license license:bsd-2)))
+
(define-public r-kernsmooth
(package
(name "r-kernsmooth")
