How to Install and Uninstall r-cran-strucchange Package on Kali Linux

Last updated: November 22,2024

1. Install "r-cran-strucchange" package

Please follow the step by step instructions below to install r-cran-strucchange on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-strucchange
            
                    
    
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2. Uninstall "r-cran-strucchange" package

Learn how to uninstall r-cran-strucchange on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-strucchange
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-strucchange package on Kali Linux

Package: r-cran-strucchange
Source: strucchange
Version: 1.5-3-1
Installed-Size: 1124
Maintainer: Dirk Eddelbuettel
Architecture: amd64
Depends: libc6 (>= 2.29), r-base-core (>= 4.2.0-1), r-api-4.0, r-cran-zoo, r-cran-sandwich
Size: 929784
SHA256: 0be3f44609be4e90be3f295880dbcaebf57e5a918b68eb11f18c0900b2a4874d
SHA1: 11a7582ee75471d4190e31d1af25bd6b716f5783
MD5sum: 5e3355befeae212a1509a6229e639309
Description: GNU R package for structural change regression estimation
This package functions for testing, dating and monitoring of
structural change in linear regression relationships. The strucchange
package features tests/methods from the generalized fluctuation test
framework as well as from the F test (Chow test) framework. This
includes methods to fit, plot and test fluctuation processes (e.g.,
CUSUM, MOSUM, recursive/moving estimates) and F statistics,
respectively. It is possible to monitor incoming data online using
fluctuation processes.
.
Finally, the breakpoints in regression models with structural changes
can be estimated together with confidence intervals. Emphasis is
always given to methods for visualizing the data.
Description-md5:
Homepage: https://cran.r-project.org/package=strucchange
Tag: devel::lang:r, devel::library, field::statistics, implemented-in::r,
role::app-data, suite::gnu
Section: gnu-r
Priority: optional
Filename: pool/main/s/strucchange/r-cran-strucchange_1.5-3-1_amd64.deb