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r-cran-spatstat package

r-cran-spatstat 1.64-1-1build1 source package in Ubuntu

Changelog

r-cran-spatstat (1.64-1-1build1) groovy; urgency=medium

  * No-change rebuild against r-api-4.0

 -- Graham Inggs <email address hidden>  Sat, 30 May 2020 21:45:06 +0000

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

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Series Pocket Published Component Section

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File Size SHA-256 Checksum
r-cran-spatstat_1.64-1.orig.tar.gz 7.6 MiB ca3fc7d0d6b7a83fd045a7502bf03c6871fa1ab2cf411647c438fd99b4eb551a
r-cran-spatstat_1.64-1-1build1.debian.tar.xz 4.9 KiB fb855d8948a3b459a8fbd8022473cb5232e0c7beed9f21e7f6df4e47e9248ac3
r-cran-spatstat_1.64-1-1build1.dsc 2.3 KiB 1ac4cce05e36d392cb71b320cea79a099c20bfdd2c44adf6a7712124762bbfc4

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Binary packages built by this source

r-cran-spatstat: GNU R Spatial Point Pattern analysis, model-fitting, simulation, tests

 A GNU R package for analysing spatial data, mainly Spatial Point Patterns,
 including multitype/marked points and spatial covariates, in any
 two-dimensional spatial region. Contains functions for plotting spatial
 data, exploratory data analysis, model-fitting, simulation, spatial sampling,
 model diagnostics, and formal inference. Data types include point patterns,
 line segment patterns, spatial windows, and pixel images. Point process
 models can be fitted to point pattern data. Cluster type models are fitted
 by the method of minimum contrast. Very general Gibbs point process models
 can be fitted to point pattern data using a function ppm similar to lm or glm.
 Models may include dependence on covariates, interpoint interaction and
 dependence on marks. Fitted models can be simulated automatically. Also
 provides facilities for formal inference (such as chi-squared tests) and model
 diagnostics (including simulation envelopes, residuals, residual plots and Q-Q
 plots).

r-cran-spatstat-dbgsym: No summary available for r-cran-spatstat-dbgsym in ubuntu jammy.

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