Source: r-cran-spatstat.explore
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 (>= 3.7-2),
 r-cran-spatstat.random (>= 3.4-5),
 r-cran-nlme,
 r-cran-spatstat.utils (>= 3.2-2),
 r-cran-spatstat.sparse (>= 3.1),
 r-cran-goftest,
 r-cran-matrix,
 r-cran-abind,
 architecture-is-64-bit,
 architecture-is-little-endian,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-spatstat.explore
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-spatstat.explore.git
Homepage: https://cran.r-project.org/package=spatstat.explore
Rules-Requires-Root: no

Package: r-cran-spatstat.explore
Architecture: any
Depends:
 ${R:Depends},
 ${shlibs:Depends},
 ${misc:Depends},
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: Exploratory Data Analysis for the 'spatstat' Family
 Functionality for exploratory data analysis and nonparametric analysis
 of spatial data, mainly spatial point patterns, in the 'spatstat'
 family of packages. (Excludes analysis of spatial data on a linear network,
 which is covered by the separate package 'spatstat.linnet'.) Methods include
 quadrat counts, K-functions and their simulation envelopes, nearest neighbour
 distance and empty space statistics, Fry plots, pair correlation function,
 kernel smoothed intensity, relative risk estimation with cross-validated
 bandwidth selection, mark correlation functions, segregation indices,
 mark dependence diagnostics, and kernel estimates of covariate effects.
 Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov,
 Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo)
 and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov,
 ANOVA) are also supported.
