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authorManuela Kuhn <36827019+manuelakuhn@users.noreply.github.com>2021-06-03 04:28:21 +0200
committerGitHub <noreply@github.com>2021-06-02 20:28:21 -0600
commite1d578299e762d2c2e5ac09476c1edcdccc4ed0a (patch)
treeab188aa378cbb777df8d5b3d9eaf39b7a107a4c4
parent3b148f11926a598ebd0eb54a2ba9d3b5c329781e (diff)
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r-estimability: add new package (#23990)
-rw-r--r--var/spack/repos/builtin/packages/r-estimability/package.py22
1 files changed, 22 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/r-estimability/package.py b/var/spack/repos/builtin/packages/r-estimability/package.py
new file mode 100644
index 0000000000..7ec7a71578
--- /dev/null
+++ b/var/spack/repos/builtin/packages/r-estimability/package.py
@@ -0,0 +1,22 @@
+# 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 REstimability(RPackage):
+ """Tools for Assessing Estimability of Linear Predictions
+
+ Provides tools for determining estimability of linear functions
+ of regression coefficients, and 'epredict' methods that handle
+ non-estimable cases correctly. Estimability theory is discussed in
+ many linear-models textbooks including Chapter 3 of Monahan, JF (2008),
+ "A Primer on Linear Models", Chapman and Hall (ISBN 978-1-4200-6201-4).
+ """
+
+ homepage = "https://github.com/rvlenth/estimability"
+ cran = "estimability"
+
+ version('1.3', sha256='a33179c5fbd6a1a623d90cb6f1743148f92c09429fac466867f3ea70946a2e32')