56 lines
2.8 KiB
Python
56 lines
2.8 KiB
Python
##############################################################################
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# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC.
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# Produced at the Lawrence Livermore National Laboratory.
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#
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# This file is part of Spack.
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# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
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# LLNL-CODE-647188
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#
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# For details, see https://github.com/llnl/spack
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# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License (as
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# published by the Free Software Foundation) version 2.1, February 1999.
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#
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# This program is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
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# conditions of the GNU Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public
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# License along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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##############################################################################
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from spack import *
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class RSpdep(RPackage):
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"""A collection of functions to create spatial weights matrix objects from
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polygon contiguities, from point patterns by distance and tessellations,
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for summarizing these objects, and for permitting their use in spatial
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data analysis, including regional aggregation by minimum spanning tree;
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a collection of tests for spatial autocorrelation, including global
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Moran's I, APLE, Geary's C, Hubert/Mantel general cross product statistic,
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Empirical Bayes estimates and AssunasReis Index, Getis/Ord G and
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multicoloured join count statistics, local Moran's I and Getis/Ord G,
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saddlepoint approximations and exact tests for global and local Moran's I;
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and functions for estimating spatial simultaneous autoregressive (SAR) lag
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and error models, impact measures for lag models, weighted and unweighted
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SAR and CAR spatial regression models, semi-parametric and Moran
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eigenvector spatial filtering, GM SAR error models, and generalized spatial
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two stage least squares models."""
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homepage = "https://r-forge.r-project.org/projects/spdep"
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url = "https://cran.r-project.org/src/contrib/spdep_0.6-13.tar.gz"
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version('0.6-13', 'bfc68b3016b4894b152ecec4b86f85d1')
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depends_on('r@3.0:')
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depends_on('r-sp@1.0:', type=('build', 'run'))
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depends_on('r-learnbayes', type=('build', 'run'))
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depends_on('r-deldir', type=('build', 'run'))
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depends_on('r-coda', type=('build', 'run'))
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depends_on('r-gmodels', type=('build', 'run'))
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depends_on('r-expm', type=('build', 'run'))
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