28 lines
1.1 KiB
Python
28 lines
1.1 KiB
Python
# Copyright 2013-2024 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 RPowerlaw(RPackage):
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"""Analysis of Heavy Tailed Distributions.
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An implementation of maximum likelihood estimators for a variety of heavy
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tailed distributions, including both the discrete and continuous power law
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distributions. Additionally, a goodness-of-fit based approach is used to
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estimate the lower cut-off for the scaling region."""
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cran = "poweRlaw"
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version("0.70.6", sha256="efc091449c5c6494c1c13c85a8eb95625d1c55ffffebe86c7ea16e4abbafa191")
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version("0.70.2", sha256="240f1454389b1a00ad483fb63e5b53243cc9367f21a3e7253ab2c293673459ab")
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version("0.70.1", sha256="15b1b8dadeb550c01b9f1308cfa64720be6fbf56afb80f6a096987d6a0055913")
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depends_on("r@3.1.0:", type=("build", "run"))
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depends_on("r@3.4.0:", type=("build", "run"), when="@0.70.2:")
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depends_on("r-pracma", type=("build", "run"), when="@0.70.6:")
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depends_on("r-vgam", type=("build", "run"), when="@:0.70.2")
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