How to Install and Uninstall R-gamlss.dist.x86_64 Package on Fedora 35
Last updated: November 25,2024
1. Install "R-gamlss.dist.x86_64" package
This guide covers the steps necessary to install R-gamlss.dist.x86_64 on Fedora 35
$
sudo dnf update
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$
sudo dnf install
R-gamlss.dist.x86_64
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2. Uninstall "R-gamlss.dist.x86_64" package
This guide let you learn how to uninstall R-gamlss.dist.x86_64 on Fedora 35:
$
sudo dnf remove
R-gamlss.dist.x86_64
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$
sudo dnf autoremove
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3. Information about the R-gamlss.dist.x86_64 package on Fedora 35
Last metadata expiration check: 2:41:22 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : R-gamlss.dist
Version : 5.3.2
Release : 3.fc35
Architecture : x86_64
Size : 3.3 M
Source : R-gamlss.dist-5.3.2-3.fc35.src.rpm
Repository : fedora
Summary : Distributions for Generalized Additive Models for Location Scale and Shape
URL : https://CRAN.R-project.org/package=gamlss.dist
License : GPLv2 or GPLv3
Description : A set of distributions which can be used for modelling the response variables
: in Generalized Additive Models for Location Scale and Shape, Rigby and
: Stasinopoulos (2005),. The distributions
: can be continuous, discrete or mixed distributions. Extra distributions can be
: created, by transforming, any continuous distribution defined on the real line,
: to a distribution defined on ranges 0 to infinity or 0 to 1, by using a "log"
: or a "logit" transformation respectively.
Available Packages
Name : R-gamlss.dist
Version : 5.3.2
Release : 3.fc35
Architecture : x86_64
Size : 3.3 M
Source : R-gamlss.dist-5.3.2-3.fc35.src.rpm
Repository : fedora
Summary : Distributions for Generalized Additive Models for Location Scale and Shape
URL : https://CRAN.R-project.org/package=gamlss.dist
License : GPLv2 or GPLv3
Description : A set of distributions which can be used for modelling the response variables
: in Generalized Additive Models for Location Scale and Shape, Rigby and
: Stasinopoulos (2005),
: can be continuous, discrete or mixed distributions. Extra distributions can be
: created, by transforming, any continuous distribution defined on the real line,
: to a distribution defined on ranges 0 to infinity or 0 to 1, by using a "log"
: or a "logit" transformation respectively.