33 lines
1.5 KiB
Python
33 lines
1.5 KiB
Python
# Copyright 2013-2023 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 RRunjags(RPackage):
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"""Interface Utilities, Model Templates, Parallel Computing Methods and
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Additional Distributions for MCMC Models in JAGS.
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User-friendly interface utilities for MCMC models via Just Another Gibbs
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Sampler (JAGS), facilitating the use of parallel (or distributed)
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processors for multiple chains, automated control of convergence and sample
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length diagnostics, and evaluation of the performance of a model using
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drop-k validation or against simulated data. Template model specifications
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can be generated using a standard lme4-style formula interface to assist
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users less familiar with the BUGS syntax. A JAGS extension module provides
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additional distributions including the Pareto family of distributions, the
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DuMouchel prior and the half-Cauchy prior."""
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cran = "runjags"
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version("2.2.1-7", sha256="e81fdb15e59cdceda125d6ae7cf0cde93361ba80b123d51afd1ecdc993f25016")
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version("2.2.0-3", sha256="1b1fc0b0cfecf9ecdecc3abcba804cdc114b3c5352d5cc801602deeca90db528")
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version("2.2.0-2", sha256="e5dfeb83d36faf19ebe64429f6db64aedecf3c9a040fd5bf9c0200914bf5039a")
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depends_on("r@2.14.0:", type=("build", "run"))
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depends_on("r-lattice@0.20-10:", type=("build", "run"))
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depends_on("r-coda@0.17-1:", type=("build", "run"))
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depends_on("jags@4.3.0:")
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