How to Install and Uninstall r-cran-ranger Package on Kali Linux
Last updated: November 07,2024
1. Install "r-cran-ranger" package
This is a short guide on how to install r-cran-ranger on Kali Linux
$
sudo apt update
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$
sudo apt install
r-cran-ranger
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2. Uninstall "r-cran-ranger" package
This is a short guide on how to uninstall r-cran-ranger on Kali Linux:
$
sudo apt remove
r-cran-ranger
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the r-cran-ranger package on Kali Linux
Package: r-cran-ranger
Version: 0.16.0-1
Installed-Size: 906
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-rcpp (>= 0.11.2), r-cran-matrix, r-cran-rcppeigen, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1)
Recommends: r-cran-survival, r-cran-testthat
Size: 420668
SHA256: d93fdc39e5d6db00f805d79538f6c0cc7a7dc84deee4478c6d560f81073b64a3
SHA1: 08ab9f97a8f036d2792a4ab226320b0414228782
MD5sum: 775401b2137e3dfdb8f354cdf1b1ea40
Description: Fast Implementation of Random Forests
A fast implementation of Random Forests, particularly suited for high
dimensional data. Ensembles of classification, regression, survival and
probability prediction trees are supported. Data from genome-wide association
studies can be analyzed efficiently. In addition to data frames, datasets of
class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix')
can be directly analyzed.
Description-md5:
Homepage: https://cran.r-project.org/package=ranger
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-ranger/r-cran-ranger_0.16.0-1_amd64.deb
Version: 0.16.0-1
Installed-Size: 906
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-rcpp (>= 0.11.2), r-cran-matrix, r-cran-rcppeigen, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1)
Recommends: r-cran-survival, r-cran-testthat
Size: 420668
SHA256: d93fdc39e5d6db00f805d79538f6c0cc7a7dc84deee4478c6d560f81073b64a3
SHA1: 08ab9f97a8f036d2792a4ab226320b0414228782
MD5sum: 775401b2137e3dfdb8f354cdf1b1ea40
Description: Fast Implementation of Random Forests
A fast implementation of Random Forests, particularly suited for high
dimensional data. Ensembles of classification, regression, survival and
probability prediction trees are supported. Data from genome-wide association
studies can be analyzed efficiently. In addition to data frames, datasets of
class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix')
can be directly analyzed.
Description-md5:
Homepage: https://cran.r-project.org/package=ranger
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-ranger/r-cran-ranger_0.16.0-1_amd64.deb