r-cran-spatstat.model 3.2-4-1 source package in Ubuntu

Changelog

r-cran-spatstat.model (3.2-4-1) unstable; urgency=medium

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

 -- Andreas Tille <email address hidden>  Tue, 27 Jun 2023 16:43:24 +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

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Series Pocket Published Component Section
Mantic release universe misc

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r-cran-spatstat.model_3.2-4-1.dsc 2.4 KiB fc6afedec61d4e98a6171d7708c74e35b0fe365eda1726440e8dc21f21a42f5d
r-cran-spatstat.model_3.2-4.orig.tar.gz 785.0 KiB 26ea9baaa979c5e810e72f2f92aad8e9f9a4d05ef94c0d5093d5c94918e79d6d
r-cran-spatstat.model_3.2-4-1.debian.tar.xz 3.2 KiB 7bf9d3ee55dd117defa0d9c04b09dc9558aad408b49d833ca110159245ff4548

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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