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-rw-r--r--var/spack/repos/builtin/packages/r-emmeans/package.py31
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+# 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 REmmeans(RPackage):
+ """Estimated Marginal Means, aka Least-Squares Means
+
+ Obtain estimated marginal means (EMMs) for many linear, generalized
+ linear, and mixed models. Compute contrasts or linear functions of EMMs,
+ trends, and comparisons of slopes. Plots and other displays.
+ Least-squares means are discussed, and the term "estimated marginal means"
+ is suggested, in Searle, Speed, and Milliken (1980) Population marginal
+ means in the linear model: An alternative to least squares means, The
+ American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
+ """
+
+ homepage = "https://github.com/rvlenth/emmeans"
+ cran = "emmeans"
+
+ version('1.6.0', sha256='201bb7b008dde94231ed60bcc6a32749442faaab4baeea99ad28b97c951b3c1e')
+
+ depends_on('r@3.5.0:', type=('build', 'run'))
+ depends_on('r-estimability@1.3:', type=('build', 'run'))
+ depends_on('r-numderiv', type=('build', 'run'))
+ depends_on('r-plyr', type=('build', 'run'))
+ depends_on('r-mvtnorm', type=('build', 'run'))
+ depends_on('r-xtable@1.8-2:', type=('build', 'run'))