How to Install and Uninstall R-car.noarch Package on Fedora 36
Last updated: November 25,2024
1. Install "R-car.noarch" package
This is a short guide on how to install R-car.noarch on Fedora 36
$
sudo dnf update
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$
sudo dnf install
R-car.noarch
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2. Uninstall "R-car.noarch" package
This tutorial shows how to uninstall R-car.noarch on Fedora 36:
$
sudo dnf remove
R-car.noarch
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$
sudo dnf autoremove
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3. Information about the R-car.noarch package on Fedora 36
Last metadata expiration check: 0:21:21 ago on Thu Sep 8 08:04:50 2022.
Available Packages
Name : R-car
Version : 2.0.22
Release : 13.fc36
Architecture : noarch
Size : 1.6 M
Source : R-car-2.0.22-13.fc36.src.rpm
Repository : fedora
Summary : Companion to Applied Regression package for R
URL : http://cran.r-project.org/web/packages/car/index.html
License : GPLv2+
Description : This package accompanies J. Fox, An R and S-PLUS Companion to Applied
: Regression, Sage, 2002. The package contains mostly functions for applied
: regression, linear models, and generalized linear models, with an emphasis on
: regression diagnostics, particularly graphical diagnostic methods. There are
: also some utility functions. With some exceptions, it does not duplicate
: capabilities in the basic distribution of R, nor in widely used packages.
: Where relevant, the functions in car are consistent with na.action = na.omit
: or na.exclude.
Available Packages
Name : R-car
Version : 2.0.22
Release : 13.fc36
Architecture : noarch
Size : 1.6 M
Source : R-car-2.0.22-13.fc36.src.rpm
Repository : fedora
Summary : Companion to Applied Regression package for R
URL : http://cran.r-project.org/web/packages/car/index.html
License : GPLv2+
Description : This package accompanies J. Fox, An R and S-PLUS Companion to Applied
: Regression, Sage, 2002. The package contains mostly functions for applied
: regression, linear models, and generalized linear models, with an emphasis on
: regression diagnostics, particularly graphical diagnostic methods. There are
: also some utility functions. With some exceptions, it does not duplicate
: capabilities in the basic distribution of R, nor in widely used packages.
: Where relevant, the functions in car are consistent with na.action = na.omit
: or na.exclude.