40 lines
2.0 KiB
Python
40 lines
2.0 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 RMixtools(RPackage):
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"""Tools for Analyzing Finite Mixture Models
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Analyzes finite mixture models for various parametric and semiparametric
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settings. This includes mixtures of parametric distributions (normal,
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multivariate normal, multinomial, gamma), various Reliability Mixture
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Models (RMMs), mixtures-of-regressions settings (linear regression,
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logistic regression, Poisson regression, linear regression with
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changepoints, predictor-dependent mixing proportions, random effects
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regressions, hierarchical mixtures-of-experts), and tools for selecting the
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number of components (bootstrapping the likelihood ratio test statistic,
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mixturegrams, and model selection criteria). Bayesian estimation of
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mixtures-of-linear-regressions models is available as well as a novel data
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depth method for obtaining credible bands. This package is based upon work
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supported by the National Science Foundation under Grant No.
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SES-0518772."""
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homepage = "https://cloud.r-project.org/package=mixtools"
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url = "https://cloud.r-project.org/src/contrib/mixtools_1.1.0.tar.gz"
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list_url = "https://cloud.r-project.org/src/contrib/Archive/mixtools"
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version('1.2.0', sha256='ef033ef13625209065d26767bf70d129972e6808927f755629f1d70a118b9023')
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version('1.1.0', sha256='543fd8d8dc8d4b6079ebf491cf97f27d6225e1a6e65d8fd48553ada23ba88d8f')
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version('1.0.4', sha256='62f4b0a17ce520c4f8ed50ab44f120e459143b461a9e420cd39056ee4fc8798c')
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depends_on('r@3.2:', type=('build', 'run'))
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depends_on('r@3.5.0:', when='@1.2.0:', type=('build', 'run'))
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depends_on('r-kernlab', when='@1.2.0:', type=('build', 'run'))
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depends_on('r-mass', type=('build', 'run'))
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depends_on('r-segmented', type=('build', 'run'))
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depends_on('r-survival', type=('build', 'run'))
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