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# Copyright 2013-2023 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.package import *
class RMetafor(RPackage):
"""Meta-Analysis Package for R.
A comprehensive collection of functions for conducting meta-analyses in R.
The package includes functions to calculate various effect sizes or outcome
measures, fit equal-, fixed-, random-, and mixed-effects models to such
data, carry out moderator and meta-regression analyses, and create various
types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe,
Baujat, bubble, and GOSH plots). For meta-analyses of binomial and
person-time data, the package also provides functions that implement
specialized methods, including the Mantel-Haenszel method, Peto's method,
and a variety of suitable generalized linear (mixed-effects) models (i.e.,
mixed-effects logistic and Poisson regression models). Finally, the package
provides functionality for fitting meta-analytic multivariate/multilevel
models that account for non-independent sampling errors and/or true effects
(e.g., due to the inclusion of multiple treatment studies, multiple
endpoints, or other forms of clustering). Network meta-analyses and
meta-analyses accounting for known correlation structures (e.g., due to
phylogenetic relatedness) can also be conducted. An introduction to the
package can be found in Viechtbauer (2010) <doi:10.18637/jss.v036.i03>."""
cran = "metafor"
license("GPL-2.0-or-later")
version("4.0-0", sha256="5cd552ebaf225b745c2e4d944ca80986dd1ad6f1a4c902fb646f3cb11b8dc23b")
version("3.8-1", sha256="d694577f954144d8a5eeab6521fe1c87e68ddf9ecfd7ccc915d01533371b0514")
depends_on("r@4.0.0:", type=("build", "run"))
depends_on("r-matrix", type=("build", "run"))
depends_on("r-metadat", type=("build", "run"))
depends_on("r-numderiv", type=("build", "run"), when="@4.0-0:")
depends_on("r-nlme", type=("build", "run"))
depends_on("r-mathjaxr", type=("build", "run"))
depends_on("r-pbapply", type=("build", "run"))
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