r-cran-spatstat 1.52-1-2 source package in Ubuntu

Changelog

r-cran-spatstat (1.52-1-2) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.1.0 (no changes needed)
  * New Build-Depends: r-cran-spatstat.utils

 -- Andreas Tille <email address hidden>  Thu, 07 Sep 2017 13:16:52 +0200

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Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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Downloads

File Size SHA-256 Checksum
r-cran-spatstat_1.52-1-2.dsc 2.3 KiB d092ed1a8a3b1256f1e69a85e3cf12b7e375e069a41830b6bbddb5d55cad56fe
r-cran-spatstat_1.52-1.orig.tar.gz 8.6 MiB 544a0952373a03533c8be2d28dfbae3eda7e5db6ae773e9753aab3129bbbe79e
r-cran-spatstat_1.52-1-2.debian.tar.xz 4.2 KiB dc335493299b91415d6fc5fbb843adfa264f8341116fb231e0786902a00e1cea

No changes file available.

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