r-cran-spatstat 1.63-0-1 source package in Ubuntu

Changelog

r-cran-spatstat (1.63-0-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.5.0 (routine-update)
  * Set upstream metadata fields: Bug-Submit, Repository, Repository-
    Browse.

 -- Andreas Tille <email address hidden>  Fri, 24 Jan 2020 11:09:00 +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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File Size SHA-256 Checksum
r-cran-spatstat_1.63-0-1.dsc 2.3 KiB 46a3136c9d15e6f94ac61c240b505b3e572a2d79d5d78f0adf58e10876f87850
r-cran-spatstat_1.63-0.orig.tar.gz 6.4 MiB 43b18cf63064c7d8d0ad679b205bcc2049d82ddf9bf75d9566ce004ee433aa69
r-cran-spatstat_1.63-0-1.debian.tar.xz 4.6 KiB bdde9ff2354a4d52c4d1e0818da9a232ad4caf10c2525b02320e6f182bcc17e6

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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: debug symbols for r-cran-spatstat