How to Install and Uninstall r-cran-shapes Package on Kali Linux
Last updated: November 21,2024
1. Install "r-cran-shapes" package
Please follow the instructions below to install r-cran-shapes on Kali Linux
$
sudo apt update
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$
sudo apt install
r-cran-shapes
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2. Uninstall "r-cran-shapes" package
Here is a brief guide to show you how to uninstall r-cran-shapes on Kali Linux:
$
sudo apt remove
r-cran-shapes
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the r-cran-shapes package on Kali Linux
Package: r-cran-shapes
Version: 1.2.7-1
Installed-Size: 967
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.2.2.20221110-2), r-api-4.0, r-cran-minpack.lm, r-cran-scatterplot3d, r-cran-rgl, r-cran-mass
Size: 880440
SHA256: 39d72d83b4b49ade1647dbe0ad14c8e695a9684504f15749955c5b8c980d0030
SHA1: 7c3ca58da98fa66093114d1a14649931ed6d3329
MD5sum: c3d5afe0b6dd5cafeb9a56519a94c347
Description: Statistical Shape Analysis
Routines for the statistical analysis of landmark
shapes, including Procrustes analysis, graphical displays, principal
components analysis, permutation and bootstrap tests, thin-plate
spline transformation grids and comparing covariance matrices.
See Dryden, I.L. and Mardia, K.V. (2016). Statistical shape analysis,
with Applications in R (2nd Edition), John Wiley and Sons.
Description-md5:
Homepage: https://cran.r-project.org/package=shapes
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-shapes/r-cran-shapes_1.2.7-1_all.deb
Version: 1.2.7-1
Installed-Size: 967
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.2.2.20221110-2), r-api-4.0, r-cran-minpack.lm, r-cran-scatterplot3d, r-cran-rgl, r-cran-mass
Size: 880440
SHA256: 39d72d83b4b49ade1647dbe0ad14c8e695a9684504f15749955c5b8c980d0030
SHA1: 7c3ca58da98fa66093114d1a14649931ed6d3329
MD5sum: c3d5afe0b6dd5cafeb9a56519a94c347
Description: Statistical Shape Analysis
Routines for the statistical analysis of landmark
shapes, including Procrustes analysis, graphical displays, principal
components analysis, permutation and bootstrap tests, thin-plate
spline transformation grids and comparing covariance matrices.
See Dryden, I.L. and Mardia, K.V. (2016). Statistical shape analysis,
with Applications in R (2nd Edition), John Wiley and Sons.
Description-md5:
Homepage: https://cran.r-project.org/package=shapes
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-shapes/r-cran-shapes_1.2.7-1_all.deb