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r-cran-spatstat.explore package

r-cran-spatstat.explore 3.0-5-1 source package in Ubuntu

Changelog

r-cran-spatstat.explore (3.0-5-1) unstable; urgency=medium

  * Initial release (closes: #1024165)

 -- Andreas Tille <email address hidden>  Tue, 15 Nov 2022 21:15:19 +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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Downloads

File Size SHA-256 Checksum
r-cran-spatstat.explore_3.0-5-1.dsc 2.3 KiB 6e6cea7f664c83f248eaa2895ab89026c5a8077a88cfe95c1afb6428b4dff8df
r-cran-spatstat.explore_3.0-5.orig.tar.gz 719.9 KiB 9f438a12fac3f3e1d0bd550b1393c1e5732be694517b0878db09da557d6dc862
r-cran-spatstat.explore_3.0-5-1.debian.tar.xz 2.9 KiB 14dda7aca6ee41c3d2917aef245377a9e6580a4d4deaa6ca23dffc9d2750781f

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Binary packages built by this source

r-cran-spatstat.explore: GNU R exploratory data analysis 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.explore-dbgsym: debug symbols for r-cran-spatstat.explore