r-cran-spatstat 1.61-0-1 source package in Ubuntu

Changelog

r-cran-spatstat (1.61-0-1) unstable; urgency=medium

  * New upstream version
  * debhelper-compat 12
  * Standards-Version: 4.4.0
  * Set upstream metadata fields: Archive, Bug-Database.

 -- Andreas Tille <email address hidden>  Wed, 25 Sep 2019 16:00:27 +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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File Size SHA-256 Checksum
r-cran-spatstat_1.61-0-1.dsc 2.3 KiB e9ddf708b0c22afb7f813fc193bf03e9173c8a959274cac096ee68b1a7f48f94
r-cran-spatstat_1.61-0.orig.tar.gz 6.3 MiB 051d6a5ad018d86c46ddd277c806c227949b3a1981d809610d01b21ff34c5906
r-cran-spatstat_1.61-0-1.debian.tar.xz 4.5 KiB 68e60a06f2bf4b0ffbe438306896d0cac7cc493fe94375c8213613bf1ed8b79e

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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