How to Install and Uninstall r-cran-nleqslv Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 23,2024

1. Install "r-cran-nleqslv" package

Please follow the step by step instructions below to install r-cran-nleqslv on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Learn how to uninstall r-cran-nleqslv on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-nleqslv
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-nleqslv package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-nleqslv
Architecture: amd64
Version: 3.3.2-1build2
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: 221
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Filename: pool/universe/r/r-cran-nleqslv/r-cran-nleqslv_3.3.2-1build2_amd64.deb
Size: 99420
MD5sum: 4fca6f06a88afbd7a01b6ed2b52e3998
SHA1: c981e44ae2de854b3a186c08401633d66d844ca5
SHA256: 585372835ad217d70442112866a9886e0a474029a5eeba620dbda9642515f3b8
SHA512: 0f0e9e5b5438a3d0ca4f4bd2db1299e823bf5797a9b45883a1ebceb8a529562c5704bf64e5dcdc9765518162f84a520183cca0921a57912493b33bd0c11264e0
Homepage: https://cran.r-project.org/package=nleqslv
Description-en: GNU R package for solving systems of nonlinear equations
This R package solves a system of nonlinear equations using a Broyden or a
Newton method with a choice of global strategies such as line search and trust
region. There are options for using a numerical or user supplied Jacobian, for
specifying a banded numerical Jacobian and for allowing a singular or
ill-conditioned Jacobian.
Description-md5: 4ad74f38af0ebcaefdd3f8e1b1a7f387