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r-cran-spatstat package

r-cran-spatstat 1.48-0-1build1 source package in Ubuntu

Changelog

r-cran-spatstat (1.48-0-1build1) artful; urgency=medium

  * No-change rebuild to pick up r-api-3.4

 -- Graham Inggs <email address hidden>  Thu, 28 Sep 2017 12:06:55 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Artful
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
r-cran-spatstat_1.48-0.orig.tar.gz 8.6 MiB 880c3ae701741b963b454ca7cc4431b37634fa8e5579f74e3cebd027e629f1b9
r-cran-spatstat_1.48-0-1build1.debian.tar.xz 4.3 KiB d2c369de56eb4288b3abd7471758701609b49b767d43b34394bf1c5946153380
r-cran-spatstat_1.48-0-1build1.dsc 2.2 KiB 2354fe35ebf7a43afc821ddf638e161b251bd05136c939f96dd7bcb729c0b53e

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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