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

Last updated: November 22,2024

1. Install "r-cran-amelia" package

This tutorial shows how to install r-cran-amelia on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-amelia
            
                    
    
    Copied

2. Uninstall "r-cran-amelia" package

Please follow the step by step instructions below to uninstall r-cran-amelia on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-cran-amelia
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-amelia package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: r-cran-amelia
Priority: optional
Section: universe/gnu-r
Installed-Size: 1346
Maintainer: Ubuntu Developers
Original-Maintainer: Chris Lawrence
Architecture: amd64
Version: 1.7.4-1
Depends: r-base-core (>= 3.2.3-1), r-api-3, libblas3 | libblas.so.3, libc6 (>= 2.14), libgcc1 (>= 1:3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 5.2), r-cran-foreign, r-cran-rcpp (>= 0.11)
Suggests: r-cran-zelig
Filename: pool/universe/r/r-cran-amelia/r-cran-amelia_1.7.4-1_amd64.deb
Size: 984112
MD5sum: 527cdba1a975412d60e88e293ff9f1a3
SHA1: a016deaa2a016c72e5640e3436da90af62f38e31
SHA256: a892190ada212b62a5310c0b89f5847862e10c1e695706edb009aa103bcf33e8
Description-en: GNU R package supporting multiple imputation of missing data
Amelia II "multiply imputes" missing data in a single cross-section
(such as a survey), from a time series (like variables collected for
each year in a country), or from a time-series-cross-sectional data
set (such as collected by years for each of several
countries). Amelia II implements our bootstrapping-based algorithm
that gives essentially the same answers as the standard IP or EMis
approaches, is usually considerably faster than existing approaches
and can handle many more variables.
.
The program also generalizes existing approaches by allowing for
trends in time series across observations within a cross-sectional
unit, as well as priors that allow experts to incorporate beliefs
they have about the values of missing cells in their data. Amelia II
also includes useful diagnostics of the fit of multiple imputation
models. The program works from the R command line or via a graphical
user interface that does not require users to know R.
Description-md5: 175cc42763cd79e3d4d8a0acbaba930e
Homepage: http://gking.harvard.edu/amelia/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu