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

Last updated: May 14,2024

1. Install "r-cran-fields" package

Learn how to install r-cran-fields on Ubuntu 21.10 (Impish Indri)


    
        
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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

Learn how to uninstall r-cran-fields on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-fields
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-fields package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-fields
Architecture: amd64
Version: 11.6-1
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: 4185
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-spam, r-cran-maps, libc6 (>= 2.29)
Recommends: r-cran-runit
Filename: pool/universe/r/r-cran-fields/r-cran-fields_11.6-1_amd64.deb
Size: 3996592
MD5sum: 29331fad014f8914fe32fd382ffc39d3
SHA1: a66a9b3faf64038b388ef58d18a5484a121495b7
SHA256: d68e4b2e8d6ee6c3bfcf1f913d6dba267aa2f02b16364efdaccb69dd6a331557
SHA512: b9f0b6406761d7b55915da316229713213a6f817faae8f452978717cea054b8534f497e40b1052836d0f7ce7adee6c0397135136e8894c5ca2dd9e52576dd06a
Homepage: https://cran.r-project.org/package=fields
Description-en: 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: 5ecc34e48d2f689d66a103a049b66698