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

Last updated: May 14,2024

1. Install "r-cran-fields" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-fields
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-fields
Version: 15.2-1
Installed-Size: 4289
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-spam, r-cran-viridislite, r-cran-maps, libc6 (>= 2.29)
Size: 4094884
SHA256: e33a4544e6ad1f797fca3fb485e3274d60aacea2f73b85147969f72456556a40
SHA1: ea6028f40a472a1b01ed0c444420349a9e6d92d6
MD5sum: a307739760b7f3b9b4620a052ec7b2fa
Description: GNU R tools for spatial data
For curve, surface and function fitting with an emphasis on splines,
spatial data and spatial statistics. The major methods include cubic,
and thin plate splines, Kriging and compact covariances for large data
sets. The splines and Kriging methods are supported by functions that
can determine the smoothing parameter (nugget and sill variance) and
other covariance parameters by cross validation and also by restricted
maximum likelihood. For Kriging there is an easy to use function that
also estimates the correlation scale (range). A major feature is that
any covariance function implemented in R and following a simple fields
format can be used for spatial prediction. There are also many useful
functions for plotting and working with spatial data as images. This
package also contains an implementation of sparse matrix methods for
large spatial data sets.
Description-md5:
Homepage: https://cran.r-project.org/package=fields
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-fields/r-cran-fields_15.2-1_amd64.deb