How to Install and Uninstall R-R.cache.noarch Package on Fedora 36
Last updated: November 29,2024
1. Install "R-R.cache.noarch" package
This guide covers the steps necessary to install R-R.cache.noarch on Fedora 36
$
sudo dnf update
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$
sudo dnf install
R-R.cache.noarch
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2. Uninstall "R-R.cache.noarch" package
Please follow the guidance below to uninstall R-R.cache.noarch on Fedora 36:
$
sudo dnf remove
R-R.cache.noarch
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$
sudo dnf autoremove
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3. Information about the R-R.cache.noarch package on Fedora 36
Last metadata expiration check: 2:59:06 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : R-R.cache
Version : 0.15.0
Release : 3.fc36
Architecture : noarch
Size : 129 k
Source : R-R.cache-0.15.0-3.fc36.src.rpm
Repository : fedora
Summary : Fast and Light-Weight Caching (Memoization) of Objects and Results
URL : https://CRAN.R-project.org/package=R.cache
License : LGPLv2+
Description : Memoization can be used to speed up repetitive and computational expensive
: function calls. The first time a function that implements memoization is
: called the results are stored in a cache memory. The next time the
: function is called with the same set of parameters, the results are
: momentarily retrieved from the cache avoiding repeating the calculations.
: With this package, any R object can be cached in a key-value storage where
: the key can be an arbitrary set of R objects. The cache memory is
: persistent (on the file system).
Available Packages
Name : R-R.cache
Version : 0.15.0
Release : 3.fc36
Architecture : noarch
Size : 129 k
Source : R-R.cache-0.15.0-3.fc36.src.rpm
Repository : fedora
Summary : Fast and Light-Weight Caching (Memoization) of Objects and Results
URL : https://CRAN.R-project.org/package=R.cache
License : LGPLv2+
Description : Memoization can be used to speed up repetitive and computational expensive
: function calls. The first time a function that implements memoization is
: called the results are stored in a cache memory. The next time the
: function is called with the same set of parameters, the results are
: momentarily retrieved from the cache avoiding repeating the calculations.
: With this package, any R object can be cached in a key-value storage where
: the key can be an arbitrary set of R objects. The cache memory is
: persistent (on the file system).