How to Install and Uninstall r-cran-strucchange Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 22,2024

1. Install "r-cran-strucchange" package

Please follow the guidelines below to install r-cran-strucchange on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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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

Please follow the steps below to uninstall r-cran-strucchange on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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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 Ubuntu 16.04 LTS (Xenial Xerus)

Package: r-cran-strucchange
Priority: optional
Section: universe/math
Installed-Size: 916
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Architecture: all
Source: strucchange
Version: 1.5-1-1
Depends: r-base-core (>= 3.2.0-4), r-api-3, r-cran-zoo, r-cran-sandwich
Filename: pool/universe/s/strucchange/r-cran-strucchange_1.5-1-1_all.deb
Size: 786314
MD5sum: 1c7e694ff45841e95d257bf251598699
SHA1: 91fb23e3bbe1bc3b4a51057aa0ae567c00556843
SHA256: db210b75208f44d81e08c072e3adf5f10c308270cbaeb34d582e239013cdcf8c
Description-en: 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: 7dc4f7c87a4631e62a6475b2b46d6496
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu