52 lines
2.7 KiB
Python
52 lines
2.7 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 RSpatialreg(RPackage):
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"""Spatial Regression Analysis
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A collection of all the estimation functions for spatial cross-sectional
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models (on lattice/areal data using spatial weights matrices) contained up
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to now in 'spdep', 'sphet' and 'spse'. These model fitting functions
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include maximum likelihood methods for cross-sectional models proposed by
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'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814),
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fitting methods initially described by 'Ord' (1975)
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<doi:10.1080/01621459.1975.10480272>. The models are further described by
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'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least
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squares and spatial general method of moment models initially proposed by
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'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999)
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<doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting
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methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254>
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are implemented for the family of cross-sectional spatial regression
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models. Methods for fitting the log determinant term in maximum likelihood
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and MCMC fitting are compared by 'Bivand et al.' (2013)
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<doi:10.1111/gean.12008>, and model fitting methods by 'Bivand' and 'Piras'
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(2015) <doi:10.18637/jss.v063.i18>; both of these articles include
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extensive lists of references. 'spatialreg' >= 1.1-* correspond to 'spdep'
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>= 1.1-1, in which the model fitting functions are deprecated and pass
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through to 'spatialreg', but will mask those in 'spatialreg'. From versions
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1.2-*, the functions will be made defunct in 'spdep'."""
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homepage = "https://cloud.r-project.org/package=spatialreg"
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url = "https://cloud.r-project.org/src/contrib/spatialreg_1.1-3.tar.gz"
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list_url = "https://cloud.r-project.org/src/contrib/Archive/spatialreg"
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version('1.1-5', sha256='ddbf0773bad2e99b306116ae99a57bf29eecf723d1735820935a6fb7f331b27d')
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version('1.1-3', sha256='7609cdfcdfe427d2643a0db6b5360be3f6d60ede8229436ab52092d1c9cf0480')
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depends_on('r@3.3.0:', type=('build', 'run'))
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depends_on('r-spdata', type=('build', 'run'))
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depends_on('r-matrix', type=('build', 'run'))
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depends_on('r-spdep', type=('build', 'run'))
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depends_on('r-expm', type=('build', 'run'))
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depends_on('r-coda', type=('build', 'run'))
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depends_on('r-mass', type=('build', 'run'))
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depends_on('r-boot', type=('build', 'run'))
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depends_on('r-learnbayes', type=('build', 'run'))
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depends_on('r-nlme', type=('build', 'run'))
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depends_on('r-gmodels', type=('build', 'run'))
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