40 lines
1.9 KiB
Python
40 lines
1.9 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 RSpatstatExplore(RPackage):
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"""Exploratory Data Analysis for the 'spatstat' Family.
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Functionality for exploratory data analysis and nonparametric analysis of
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spatial data, mainly spatial point patterns, in the 'spatstat' family of
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packages. (Excludes analysis of spatial data on a linear network, which is
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covered by the separate package 'spatstat.linnet'.) Methods include quadrat
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counts, K-functions and their simulation envelopes, nearest neighbour
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distance and empty space statistics, Fry plots, pair correlation function,
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kernel smoothed intensity, relative risk estimation with cross-validated
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bandwidth selection, mark correlation functions, segregation indices, mark
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dependence diagnostics, and kernel estimates of covariate effects. Formal
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hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte
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Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and
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tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov,
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ANOVA) are also supported."""
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cran = "spatstat.explore"
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version("3.0-3", sha256="137444a46d26d88241336feece63ed7b006a9328cfe3861d4b8ab7b4bed963a7")
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depends_on("r@3.5.0:", type=("build", "run"))
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depends_on("r-spatstat-data@3.0:", type=("build", "run"))
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depends_on("r-spatstat-geom@3.0:", type=("build", "run"))
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depends_on("r-spatstat-random@3.0:", type=("build", "run"))
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depends_on("r-nlme", type=("build", "run"))
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depends_on("r-spatstat-utils@3.0:", type=("build", "run"))
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depends_on("r-spatstat-sparse@3.0:", type=("build", "run"))
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depends_on("r-goftest@1.2-2:", type=("build", "run"))
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depends_on("r-matrix", type=("build", "run"))
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depends_on("r-abind", type=("build", "run"))
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