How to Install and Uninstall perl-Statistics-CaseResampling.x86_64 Package on Fedora 36
Last updated: November 25,2024
1. Install "perl-Statistics-CaseResampling.x86_64" package
In this section, we are going to explain the necessary steps to install perl-Statistics-CaseResampling.x86_64 on Fedora 36
$
sudo dnf update
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$
sudo dnf install
perl-Statistics-CaseResampling.x86_64
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2. Uninstall "perl-Statistics-CaseResampling.x86_64" package
Here is a brief guide to show you how to uninstall perl-Statistics-CaseResampling.x86_64 on Fedora 36:
$
sudo dnf remove
perl-Statistics-CaseResampling.x86_64
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$
sudo dnf autoremove
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3. Information about the perl-Statistics-CaseResampling.x86_64 package on Fedora 36
Last metadata expiration check: 0:29:28 ago on Thu Sep 8 08:04:50 2022.
Available Packages
Name : perl-Statistics-CaseResampling
Version : 0.15
Release : 26.fc36
Architecture : x86_64
Size : 32 k
Source : perl-Statistics-CaseResampling-0.15-26.fc36.src.rpm
Repository : fedora
Summary : Resampling and calculation of medians with confidence intervals
URL : https://metacpan.org/release/Statistics-CaseResampling
License : (GPL+ or Artistic) and (Copyright Only)
Description : The purpose of this module is to calculate the median (or in principle also
: other statistics) with confidence intervals on a sample. To do that, it uses
: a technique called boot-strapping. In a nutshell, it resamples the sample
: a lot of times and for each resample, it calculates the median. From the
: distribution of medians, it then calculates the confidence limits.
Available Packages
Name : perl-Statistics-CaseResampling
Version : 0.15
Release : 26.fc36
Architecture : x86_64
Size : 32 k
Source : perl-Statistics-CaseResampling-0.15-26.fc36.src.rpm
Repository : fedora
Summary : Resampling and calculation of medians with confidence intervals
URL : https://metacpan.org/release/Statistics-CaseResampling
License : (GPL+ or Artistic) and (Copyright Only)
Description : The purpose of this module is to calculate the median (or in principle also
: other statistics) with confidence intervals on a sample. To do that, it uses
: a technique called boot-strapping. In a nutshell, it resamples the sample
: a lot of times and for each resample, it calculates the median. From the
: distribution of medians, it then calculates the confidence limits.