How to Install and Uninstall r-cran-spatstat.model Package on Kali Linux
Last updated: November 24,2024
1. Install "r-cran-spatstat.model" package
Please follow the guidance below to install r-cran-spatstat.model on Kali Linux
$
sudo apt update
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$
sudo apt install
r-cran-spatstat.model
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2. Uninstall "r-cran-spatstat.model" package
Please follow the instructions below to uninstall r-cran-spatstat.model on Kali Linux:
$
sudo apt remove
r-cran-spatstat.model
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the r-cran-spatstat.model package on Kali Linux
Package: r-cran-spatstat.model
Version: 3.2-8-1
Installed-Size: 3561
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-spatstat.data (>= 3.0), r-cran-spatstat.geom (>= 3.2-7), r-cran-spatstat.random (>= 3.2-1), r-cran-spatstat.explore (>= 3.2-5), r-cran-nlme, r-cran-rpart, r-cran-spatstat.utils (>= 3.0-3), r-cran-spatstat.sparse (>= 3.0), r-cran-mgcv, r-cran-matrix, r-cran-abind, r-cran-tensor, r-cran-goftest (>= 1.2-2)
Recommends: r-cran-sm, r-cran-gsl, r-cran-locfit, r-cran-spatial, r-cran-nleqslv, r-cran-glmnet, r-cran-spatstat.linnet (>= 3.1), r-cran-spatstat (>= 3.0)
Size: 3304196
SHA256: 61553512638590314ff8f0374782b4a48865a9c53a9c7ec0f1fabe13a0dc51a3
SHA1: 9a0b590bcbe81f9fea72d8208fcb81d55de087dc
MD5sum: 121816c10e6ea32636b7d4c9b8b83f64
Description: GNU R parametric statistical modelling 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.model
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-spatstat.model/r-cran-spatstat.model_3.2-8-1_amd64.deb
Version: 3.2-8-1
Installed-Size: 3561
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-spatstat.data (>= 3.0), r-cran-spatstat.geom (>= 3.2-7), r-cran-spatstat.random (>= 3.2-1), r-cran-spatstat.explore (>= 3.2-5), r-cran-nlme, r-cran-rpart, r-cran-spatstat.utils (>= 3.0-3), r-cran-spatstat.sparse (>= 3.0), r-cran-mgcv, r-cran-matrix, r-cran-abind, r-cran-tensor, r-cran-goftest (>= 1.2-2)
Recommends: r-cran-sm, r-cran-gsl, r-cran-locfit, r-cran-spatial, r-cran-nleqslv, r-cran-glmnet, r-cran-spatstat.linnet (>= 3.1), r-cran-spatstat (>= 3.0)
Size: 3304196
SHA256: 61553512638590314ff8f0374782b4a48865a9c53a9c7ec0f1fabe13a0dc51a3
SHA1: 9a0b590bcbe81f9fea72d8208fcb81d55de087dc
MD5sum: 121816c10e6ea32636b7d4c9b8b83f64
Description: GNU R parametric statistical modelling 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.model
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-spatstat.model/r-cran-spatstat.model_3.2-8-1_amd64.deb