gnu: Add r-spatstat-model.
* gnu/packages/cran.scm (r-spatstat-model): New variable.
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@ -29139,6 +29139,50 @@ tests for covariate effects (Cox-Berman-Waller-Lawson,
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Kolmogorov-Smirnov, ANOVA) are also supported.")
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Kolmogorov-Smirnov, ANOVA) are also supported.")
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(license license:gpl2+)))
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(license license:gpl2+)))
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(define-public r-spatstat-model
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(package
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(name "r-spatstat-model")
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(version "3.0-2")
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(source (origin
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(method url-fetch)
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(uri (cran-uri "spatstat.model" version))
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(sha256
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(base32
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"0a6lf5y0k13h60s0lnwwfrmxswl7avcg4fhqmha1nmycidhga8z9"))))
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(properties `((upstream-name . "spatstat.model")))
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(build-system r-build-system)
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(propagated-inputs
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(list r-abind
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r-goftest
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r-matrix
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r-mgcv
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r-nlme
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r-rpart
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r-spatstat-data
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r-spatstat-explore
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r-spatstat-geom
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r-spatstat-random
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r-spatstat-sparse
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r-spatstat-utils
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r-tensor))
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(home-page "https://spatstat.org/")
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(synopsis "Parametric statistical modelling for the spatstat family")
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(description
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"This package implements functionality for exploratory data
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analysis and nonparametric analysis of spatial data, mainly spatial
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point patterns, in the spatstat family of packages. Methods include
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quadrat counts, K-functions and their simulation envelopes, nearest
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neighbour distance and empty space statistics, Fry plots, pair
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correlation function, kernel smoothed intensity, relative risk
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estimation with cross-validated bandwidth selection, mark correlation
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functions, segregation indices, mark dependence diagnostics, and
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kernel estimates of covariate effects. Formal hypothesis tests of
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random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo,
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Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and
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tests for covariate effects (Cox-Berman-Waller-Lawson,
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Kolmogorov-Smirnov, ANOVA) are also supported.")
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(license license:gpl2+)))
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(define-public r-spatstat-utils
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(define-public r-spatstat-utils
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(package
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(package
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(name "r-spatstat-utils")
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(name "r-spatstat-utils")
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