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authorAndrew W Elble <aweits@rit.edu>2022-01-04 13:39:37 -0500
committerGitHub <noreply@github.com>2022-01-04 12:39:37 -0600
commitb924a5db149d101a8155e18a7170eb38d89bc59e (patch)
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new package: r-rpsychi (#28231)
Co-authored-by: Andrew W Elble <aweits@skl-a-00.rc.rit.edu>
-rw-r--r--var/spack/repos/builtin/packages/r-rpsychi/package.py26
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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)
+
+
+class RRpsychi(RPackage):
+ """The rpsychi offers a number of functions for psychiatry,
+ psychiatric nursing, clinical psychology. Functions are primarily
+ for statistical significance testing using published work. For
+ example, you can conduct a factorial analysis of variance (ANOVA),
+ which requires only the mean, standard deviation, and sample size
+ for each cell, rather than the individual data. This package
+ covers fundamental statistical tests such as t-test, chi-square
+ test, analysis of variance, and multiple regression analysis. With
+ some exceptions, you can obtain effect size and its confidence
+ interval. These functions help you to obtain effect size from
+ published work, and then to conduct a priori power analysis or
+ meta-analysis, even if a researcher do not report effect size in a
+ published work."""
+
+ cran = 'rpsychi'
+
+ version('0.8', sha256='9c5465f59c92431e345418aee5bc1f5bc12f843492b20ccb9f92f3bdf19a80c0')
+
+ depends_on('r-gtools', type=('build', 'run'))