new package: r-rpsychi (#28231)
Co-authored-by: Andrew W Elble <aweits@skl-a-00.rc.rit.edu>
This commit is contained in:
parent
0264bb8343
commit
b924a5db14
26
var/spack/repos/builtin/packages/r-rpsychi/package.py
Normal file
26
var/spack/repos/builtin/packages/r-rpsychi/package.py
Normal file
@ -0,0 +1,26 @@
|
|||||||
|
# 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'))
|
Loading…
Reference in New Issue
Block a user