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

Last updated: May 08,2024

1. Install "r-cran-kernelheaping" package

Please follow the guidelines below to install r-cran-kernelheaping on Kali Linux


    
        
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                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-kernelheaping
            
                    
    
    Copied

2. Uninstall "r-cran-kernelheaping" package

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


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-cran-kernelheaping
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-kernelheaping
Version: 2.3.0-1
Installed-Size: 200
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.1.2-2), r-api-4.0, r-cran-mass, r-cran-ks, r-cran-sparr, r-cran-sp, r-cran-plyr, r-cran-dplyr, r-cran-fastmatch, r-cran-fitdistrplus, r-cran-gb2, r-cran-magrittr, r-cran-mvtnorm
Size: 171308
SHA256: a67f39a0086cdbbfd99a860f778ad6df034df83e243ea93b8c49432a8e0e6804
SHA1: 5de0971870b7f776b398f9c52e0e91c94b52fa65
MD5sum: 8a5e034416dad1409132fcdb7af255cd
Description: GNU R kernel density estimation for heaped and rounded data
In self-reported or anonymised data the user often encounters heaped
data, i.e. data which are rounded (to a possibly different degree of
coarseness). While this is mostly a minor problem in parametric density
estimation the bias can be very large for non-parametric methods such as
kernel density estimation. This package implements a partly Bayesian
algorithm treating the true unknown values as additional parameters and
estimates the rounding parameters to give a corrected kernel density
estimate. It supports various standard bandwidth selection methods.
Varying rounding probabilities (depending on the true value) and
asymmetric rounding is estimable as well: Gross, M. and Rendtel, U.
(2016) (). Additionally, bivariate non-
parametric density estimation for rounded data, Gross, M. et al. (2016)
(), as well as data aggregated on areas is
supported.
Description-md5:
Homepage: https://cran.r-project.org/package=Kernelheaping
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-kernelheaping/r-cran-kernelheaping_2.3.0-1_all.deb