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r-cran-spatstat.model package

r-cran-spatstat.model 3.0-2-1 source package in Ubuntu

Changelog

r-cran-spatstat.model (3.0-2-1) unstable; urgency=medium

  * Initial release (closes: #1024172)

 -- Andreas Tille <email address hidden>  Tue, 15 Nov 2022 21:40:02 +0100

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Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
r-cran-spatstat.model_3.0-2-1.dsc 2.4 KiB 0a5530a95fb648d56d6a91a969c9aa87df40e835e0ea8625445b42ba692a563c
r-cran-spatstat.model_3.0-2.orig.tar.gz 765.0 KiB e923f5608bcc571b14ac183af2d8568772dd6b769c5b0a34307084097c71d428
r-cran-spatstat.model_3.0-2-1.debian.tar.xz 3.0 KiB 67165d5ea5b7d5e2d8909edf834a877735fda2fce1874c3d8a1858990ca0dc0d

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Binary packages built by this source

r-cran-spatstat.model: GNU R parametric statistical modelling for the 'spatstat' family

 Functionality for exploratory data analysis and nonparametric analysis
 of spatial data, mainly spatial point patterns, in the 'spatstat' family
 of packages. (Excludes analysis of spatial data on a linear network,
 which is covered by the separate package 'spatstat.linnet'.) Methods
 include quadrat counts, K-functions and their simulation envelopes,
 nearest neighbour distance and empty space statistics, Fry plots, pair
 correlation function, kernel smoothed intensity, relative risk
 estimation with cross-validated bandwidth selection, mark correlation
 functions, segregation indices, mark dependence diagnostics, and kernel
 estimates of covariate effects. Formal hypothesis tests of random
 pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-
 Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects
 (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also
 supported.

r-cran-spatstat.model-dbgsym: debug symbols for r-cran-spatstat.model