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

Last updated: November 22,2024

1. Install "r-cran-matchit" package

Please follow the step by step instructions below to install r-cran-matchit on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-matchit
            
                    
    
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2. Uninstall "r-cran-matchit" package

In this section, we are going to explain the necessary steps to uninstall r-cran-matchit on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                r-cran-matchit
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-matchit package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: r-cran-matchit
Priority: optional
Section: universe/math
Installed-Size: 149
Maintainer: Ubuntu Developers
Original-Maintainer: Chris Lawrence
Architecture: all
Source: matchit
Version: 2.4-21-1
Depends: r-base-core (>= 3.0.2-1ubuntu1), r-cran-rpart, r-cran-mass, r-cran-nnet, r-cran-mgcv
Suggests: r-cran-zelig
Filename: pool/universe/m/matchit/r-cran-matchit_2.4-21-1_all.deb
Size: 74130
MD5sum: e1bf99a3f182d20e8ac9b249a4660d49
SHA1: f2bca69f7d0a74c05634e47bca6aaec68db0e500
SHA256: 78416374564328e5dd08de3b1ccc2593bad3f497bba6f52dc516d455a789e870
Description-en: GNU R package of nonparametric matching methods
MatchIt implements the suggestions of Ho, Imai, King, and Stuart
(2004) for improving parametric statistical models by preprocessing
data with nonparametric matching methods.
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MatchIt implements a wide range of sophisticated matching methods,
making it possible to greatly reduce the dependence of causal
inferences on hard-to-justify, but commonly made, statistical
modeling assumptions. The software also easily fits into existing
research practices since, after preprocessing with MatchIt,
researchers can use whatever parametric model they would have used
without MatchIt, but produce inferences with substantially more
robustness and less sensitivity to modeling assumptions. MatchIt is
an R program, and also works seamlessly within Zelig.
Description-md5: eb38c5b814371a9c56e064b45c858371
Homepage: http://gking.harvard.edu/matchit/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu