31 lines
1.3 KiB
Python
31 lines
1.3 KiB
Python
# Copyright 2013-2023 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class RRpsychi(RPackage):
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"""Statistics for psychiatric research.
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The rpsychi offers a number of functions for psychiatry, psychiatric
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nursing, clinical psychology. Functions are primarily for statistical
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significance testing using published work. For example, you can conduct a
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factorial analysis of variance (ANOVA), which requires only the mean,
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standard deviation, and sample size for each cell, rather than the
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individual data. This package covers fundamental statistical tests such as
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t-test, chi-square test, analysis of variance, and multiple regression
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analysis. With some exceptions, you can obtain effect size and its
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confidence interval. These functions help you to obtain effect size from
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published work, and then to conduct a priori power analysis or
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meta-analysis, even if a researcher do not report effect size in a
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published work."""
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cran = "rpsychi"
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version("0.8", sha256="9c5465f59c92431e345418aee5bc1f5bc12f843492b20ccb9f92f3bdf19a80c0")
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depends_on("r-gtools", type=("build", "run"))
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