
- [x] add `concretize.lp`, `spack.yaml`, etc. to licensed files - [x] update all licensed files to say 2013-2021 using `spack license update-copyright-year` - [x] appease mypy with some additions to package.py that needed for oneapi.py
24 lines
1.1 KiB
Python
24 lines
1.1 KiB
Python
# Copyright 2013-2021 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 import *
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class RLearnbayes(RPackage):
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"""LearnBayes contains a collection of functions helpful in learning the
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basic tenets of Bayesian statistical inference. It contains functions for
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summarizing basic one and two parameter posterior distributions and
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predictive distributions. It contains MCMC algorithms for summarizing
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posterior distributions defined by the user. It also contains functions
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for regression models, hierarchical models, Bayesian tests, and
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illustrations of Gibbs sampling."""
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homepage = "https://cloud.r-project.org/package=LearnBayes"
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url = "https://cloud.r-project.org/src/contrib/LearnBayes_2.15.tar.gz"
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list_url = "https://cloud.r-project.org/src/contrib/Archive/LearnBayes"
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version('2.15.1', sha256='9b110858456523ca0b2a63f22013c4e1fbda6674b9d84dc1f4de8bffc5260532')
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version('2.15', sha256='45c91114b4aaa0314feeb4311dbe78f5b75a3b76bb2d1ca0f8adb2e0f1cbe233')
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