r-cran-spatstat.model 3.2-8-1 source package in Ubuntu

Changelog

r-cran-spatstat.model (3.2-8-1) unstable; urgency=medium

  * New upstream version
  * dh-update-R to update Build-Depends (routine-update)

 -- Andreas Tille <email address hidden>  Tue, 24 Oct 2023 09:59:33 +0200

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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

See full publishing history Publishing

Series Pocket Published Component Section
Noble release universe misc

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File Size SHA-256 Checksum
r-cran-spatstat.model_3.2-8-1.dsc 2.5 KiB c79971bc9536842247ecf546c91a8ee85389c647c33b33abb5b1cb40320b9fde
r-cran-spatstat.model_3.2-8.orig.tar.gz 785.4 KiB 8d5c73abbd5e8fff4246d4ee3a5229cc1d774fb7fc4e69b26f08e720927703f4
r-cran-spatstat.model_3.2-8-1.debian.tar.xz 3.3 KiB 306a3b9dab5a1384f51b26d788d819fa7cfddcedfe6d949f02574189e224a739

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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