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authorGlenn Johnson <glenn-johnson@uiowa.edu>2021-04-20 04:16:06 -0500
committerGitHub <noreply@github.com>2021-04-20 11:16:06 +0200
commit6b2f63310e427e9a79c2b21c19d321446623921a (patch)
treeaf36a80ed77d3061bd953851895f6fb1afceb7e2 /var
parent971e215e25d7631b4e0f335411ec11ba62a76b5e (diff)
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r-jade: new package (#23103)
Diffstat (limited to 'var')
-rw-r--r--var/spack/repos/builtin/packages/r-jade/package.py23
1 files changed, 23 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/r-jade/package.py b/var/spack/repos/builtin/packages/r-jade/package.py
new file mode 100644
index 0000000000..63bd525256
--- /dev/null
+++ b/var/spack/repos/builtin/packages/r-jade/package.py
@@ -0,0 +1,23 @@
+# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
+# Spack Project Developers. See the top-level COPYRIGHT file for details.
+#
+# SPDX-License-Identifier: (Apache-2.0 OR MIT)
+
+from spack import *
+
+
+class RJade(RPackage):
+ """Blind Source Separation Methods Based on Joint Diagonalization and Some
+ BSS Performance Criteria:
+
+ Cardoso's JADE algorithm as well as his functions for joint diagonalization
+ are ported to R. Also several other blind source separation (BSS) methods,
+ like AMUSE and SOBI, and some criteria for performance evaluation of BSS
+ algorithms, are given. The package is described in Miettinen, Nordhausen
+ and Taskinen (2017) <doi:10.18637/jss.v076.i02>."""
+
+ cran = "JADE"
+
+ version('2.0-3', sha256='56d68a993fa16fc6dec758c843960eee840814c4ca2271e97681a9d2b9e242ba')
+
+ depends_on('r-clue', type=('build', 'run'))