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

Last updated: May 15,2024

1. Install "r-cran-amelia" package

In this section, we are going to explain the necessary steps to install r-cran-amelia on Kali Linux


    
        
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                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-amelia
            
                    
    
    Copied

2. Uninstall "r-cran-amelia" package

Please follow the instructions below to uninstall r-cran-amelia on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-amelia
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-amelia
Version: 1.8.1-2
Installed-Size: 2213
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-base-core (>= 4.3.0-1), r-api-4.0, r-cran-rcpp (>= 0.11), r-cran-foreign, r-cran-rlang, r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.14), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Suggests: r-cran-broom, r-cran-rmarkdown, r-cran-knitr
Size: 1429828
SHA256: b3c67baa5024177606e9c6672ab412996eaadb7154515a9fbf3909140776aad6
SHA1: 7921325b2e23b8f2609c1e0074299acd066a419a
MD5sum: 55487ab342e0c91a13a5c9fd9e6d2455
Description: 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 a 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:
Homepage: https://cran.r-project.org/package=Amelia
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-amelia/r-cran-amelia_1.8.1-2_amd64.deb