How to Install and Uninstall perl-Statistics-CaseResampling Package on openSuSE Tumbleweed

Last updated: July 05,2024

1. Install "perl-Statistics-CaseResampling" package

Please follow the instructions below to install perl-Statistics-CaseResampling on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                perl-Statistics-CaseResampling
            
                    
    
    Copied

2. Uninstall "perl-Statistics-CaseResampling" package

This tutorial shows how to uninstall perl-Statistics-CaseResampling on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                perl-Statistics-CaseResampling
            
                    
    
    Copied

3. Information about the perl-Statistics-CaseResampling package on openSuSE Tumbleweed

Information for package perl-Statistics-CaseResampling:
-------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : perl-Statistics-CaseResampling
Version : 0.15-1.26
Arch : x86_64
Vendor : openSUSE
Installed Size : 59.4 KiB
Installed : No
Status : not installed
Source package : perl-Statistics-CaseResampling-0.15-1.26.src
Upstream URL : http://search.cpan.org/dist/Statistics-CaseResampling/
Summary : Efficient resampling and calculation of medians with confidence intervals
Description :
The purpose of this (XS) 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 bootstrapping. 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.
In order to implement the confidence limit calculation, various other
functions had to be implemented efficiently (both algorithmically efficient
and done in C). These functions may be useful in their own right and are
thus exposed to Perl. Most notably, this exposes a median (and general
selection) algorithm that works in linear time as opposed to the trivial
implementation that requires 'O(n*log(n))'.