How to Install and Uninstall r-cran-fancova Package on Kali Linux
Last updated: November 24,2024
1. Install "r-cran-fancova" package
Learn how to install r-cran-fancova on Kali Linux
$
sudo apt update
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$
sudo apt install
r-cran-fancova
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2. Uninstall "r-cran-fancova" package
This is a short guide on how to uninstall r-cran-fancova on Kali Linux:
$
sudo apt remove
r-cran-fancova
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the r-cran-fancova package on Kali Linux
Package: r-cran-fancova
Version: 0.6-1-2
Installed-Size: 131
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Size: 98704
SHA256: b92f0cd90c1e1c6304a43e86d64fcc71c43877eb4070c9a682f1f5b430dd8e65
SHA1: 2f741064e371aef35d023ca773fb9a08a24bb938
MD5sum: 6c02810987e85350224a8b277b8e7df7
Description: GNU R nonparametric analysis of covariance
A collection of R functions to perform nonparametric
analysis of covariance for regression curves or surfaces.
Testing the equality or parallelism of nonparametric curves
or surfaces is equivalent to analysis of variance (ANOVA) or
analysis of covariance (ANCOVA) for one-sample functional data.
Three different testing methods are available in the package,
including one based on L-2 distance, one based on an ANOVA
statistic, and one based on variance estimators.
Description-md5:
Homepage: https://cran.r-project.org/package=fANCOVA
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-fancova/r-cran-fancova_0.6-1-2_all.deb
Version: 0.6-1-2
Installed-Size: 131
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Size: 98704
SHA256: b92f0cd90c1e1c6304a43e86d64fcc71c43877eb4070c9a682f1f5b430dd8e65
SHA1: 2f741064e371aef35d023ca773fb9a08a24bb938
MD5sum: 6c02810987e85350224a8b277b8e7df7
Description: GNU R nonparametric analysis of covariance
A collection of R functions to perform nonparametric
analysis of covariance for regression curves or surfaces.
Testing the equality or parallelism of nonparametric curves
or surfaces is equivalent to analysis of variance (ANOVA) or
analysis of covariance (ANCOVA) for one-sample functional data.
Three different testing methods are available in the package,
including one based on L-2 distance, one based on an ANOVA
statistic, and one based on variance estimators.
Description-md5:
Homepage: https://cran.r-project.org/package=fANCOVA
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-fancova/r-cran-fancova_0.6-1-2_all.deb