Source: r-cran-spatstat.random
Standards-Version: 4.7.4
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Andreas Tille <tille@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 13),
 dh-r,
 r-base-dev,
 r-cran-spatstat.data (>= 3.1-9),
 r-cran-spatstat.univar,
 r-cran-spatstat.geom (>= 3.7-0),
 r-cran-spatstat.utils (>= 3.2-2),
 architecture-is-64-bit,
 architecture-is-little-endian,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-spatstat.random
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-spatstat.random.git
Homepage: https://cran.r-project.org/package=spatstat.random
Rules-Requires-Root: no

Package: r-cran-spatstat.random
Architecture: any
Depends:
 ${R:Depends},
 ${shlibs:Depends},
 ${misc:Depends},
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: Random Generation Functionality for the 'spatstat' Family
 Functionality for random generation of spatial data in the 'spatstat'
 family of packages. Generates random spatial patterns of points according
 to many simple rules (complete spatial randomness, Poisson, binomial,
 random grid, systematic, cell), randomised alteration of patterns (thinning,
 random shift, jittering), simulated realisations of random point processes
 including simple sequential inhibition, Matern inhibition models, Neyman-Scott
 cluster processes (using direct, Brix-Kendall, or hybrid algorithms),
 log-Gaussian Cox processes, product shot noise cluster processes and Gibbs
 point processes (using Metropolis-Hastings birth-death-shift algorithm,
 alternating Gibbs sampler, or coupling-from-the-past perfect simulation).
 Also generates random spatial patterns of line segments, random tessellations,
 and random images (random noise, random mosaics). Excludes random
 generation on a linear network, which is covered by the separate package
 'spatstat.linnet'.
