r-cran-spatstat.model 3.2-11-1 source package in Ubuntu

Changelog

r-cran-spatstat.model (3.2-11-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.7.0 (routine-update)
  * dh-update-R to update Build-Depends (routine-update)

 -- Andreas Tille <email address hidden>  Sun, 19 May 2024 16:25:10 +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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Oracular release universe misc

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r-cran-spatstat.model_3.2-11-1.dsc 2.5 KiB 57dbe97afee8a3549c9a788bad62129c14b9866b0db4a62f9a626200b44a5c65
r-cran-spatstat.model_3.2-11.orig.tar.gz 786.8 KiB 700dc1225d110ccd88e5c640935d551a67389e928a4d2726443737665ec47643
r-cran-spatstat.model_3.2-11-1.debian.tar.xz 3.4 KiB 598514e45ec914a82d4dc742d31a55f7e2a94da100a1ff7985c3d24309b02f7f

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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