How to Install and Uninstall r-cran-whatif Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 19,2024

1. Install "r-cran-whatif" package

Please follow the steps below to install r-cran-whatif on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the steps below to uninstall r-cran-whatif on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-whatif
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-whatif package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-whatif
Architecture: all
Version: 1.5-10-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 133
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-lpsolve, r-cran-pbmcapply
Recommends: r-cran-testthat
Filename: pool/universe/r/r-cran-whatif/r-cran-whatif_1.5-10-1_all.deb
Size: 82188
MD5sum: 40fdb3b2f6b874cf6281016651302ad5
SHA1: 61125ea7162d640ae1b89e4c7b8c4a8a93744a10
SHA256: 66a5e01fc931b394dcc07de875fcea4341b7aa66d74cb31719e82a5aa3f6f19b
SHA512: 46be9377b59238e12c4d0387abea6fa9b0b447c56ab3c12817aa6cadd20d0595297d7b4ac78faa963aab56e84d75b7c22d326c70dc6479d656908c08ab2b2549
Homepage: https://cran.r-project.org/package=WhatIf
Description-en: GNU R evaluate counterfactuals
Inferences about counterfactuals are essential for prediction,
answering what if questions, and estimating causal effects.
However, when the counterfactuals posed are too far from the data at
hand, conclusions drawn from well-specified statistical analyses
become based largely on speculation hidden in convenient modeling
assumptions that few would be willing to defend. Unfortunately,
standard statistical approaches assume the veracity of the model
rather than revealing the degree of model-dependence, which makes this
problem hard to detect. WhatIf offers easy-to-apply methods to
evaluate counterfactuals that do not require sensitivity testing over
specified classes of models. If an analysis fails the tests offered
here, then it is known that substantive inferences will be sensitive to
at least some modeling choices that are not based on empirical evidence,
no matter what method of inference one chooses to use. WhatIf
implements the methods for evaluating counterfactuals discussed in
Gary King and Langche Zeng, 2006, "The Dangers of Extreme
Counterfactuals," Political Analysis 14 (2) ;
and Gary King and Langche Zeng, 2007, "When Can History Be Our Guide? The
Pitfalls of Counterfactual Inference," International Studies
Quarterly 51 (March) .
Description-md5: b85ffa3a7c29f2b60fd2dc80b9ea1c55