How to Install and Uninstall r-cran-spatstat.explore Package on Kali Linux

Last updated: November 25,2024

1. Install "r-cran-spatstat.explore" package

This is a short guide on how to install r-cran-spatstat.explore on Kali Linux

$ sudo apt update $ sudo apt install r-cran-spatstat.explore

2. Uninstall "r-cran-spatstat.explore" package

Here is a brief guide to show you how to uninstall r-cran-spatstat.explore on Kali Linux:

$ sudo apt remove r-cran-spatstat.explore $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-spatstat.explore package on Kali Linux

Package: r-cran-spatstat.explore
Version: 3.2-6-1
Installed-Size: 3639
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-spatstat.data (>= 3.0-1), r-cran-spatstat.geom (>= 3.2-8), r-cran-spatstat.random (>= 3.2-1), r-cran-nlme, r-cran-spatstat.utils (>= 3.0-3), r-cran-spatstat.sparse (>= 3.0-1), r-cran-goftest (>= 1.2-2), r-cran-matrix, r-cran-abind, libc6 (>= 2.4)
Recommends: r-cran-sm, r-cran-gsl, r-cran-locfit, r-cran-spatial, r-cran-spatstat.linnet (>= 3.1), r-cran-spatstat.model (>= 3.2-3), r-cran-spatstat (>= 3.0-5)
Size: 3334684
SHA256: d610455fcbb5e4eaee9cb604deeb478a2fcf01173d3ca5a7fa34bf1e7f78b380
SHA1: fec42838923ef61425481f1aabb0b27cba4eccf7
MD5sum: 99302942803955af709bd11d916396cc
Description: GNU R 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.
Description-md5:
Homepage: https://cran.r-project.org/package=spatstat.explore
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-spatstat.explore/r-cran-spatstat.explore_3.2-6-1_amd64.deb