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

Last updated: April 29,2024

1. Install "r-cran-nloptr" package

This tutorial shows how to install r-cran-nloptr on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-nloptr
            
                    
    
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2. Uninstall "r-cran-nloptr" package

Here is a brief guide to show you how to uninstall r-cran-nloptr on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-cran-nloptr
Architecture: amd64
Version: 1.2.2.2-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 406
Depends: libc6 (>= 2.4), libnlopt0 (>= 2.3), r-base-core (>= 4.0.2-1), r-api-4.0
Filename: pool/universe/r/r-cran-nloptr/r-cran-nloptr_1.2.2.2-1_amd64.deb
Size: 283700
MD5sum: 7f2955b68cf7ae9c29d0ed6664ea2e2d
SHA1: 97618d1c11ea2cca3b622747ba1d87d4c83143da
SHA256: c95fff26322c39598a0fc15305a83f7616bcf3b09708543fc181075e0c6fc70e
SHA512: 635941985312c85343094a4e13b787a7f31b676e57f1d08fe6d0193893f3fb4d491d002e6b2813d197650b26a3f6b43d17ff29997d99ca35688e66bdde264c2c
Homepage: https://cran.r-project.org/package=nloptr
Description-en: GNU R package for interface to NLopt
The nloptr package provides an R interface to NLopt. NLopt is a
free/open-source library for nonlinear optimization, providing a
common interface for a number of different free optimization routines
available online as well as original implementations of various other
algorithms. See
http://ab-initio.mit.edu/wiki/index.php/NLopt_Introduction for more
information on the available algorithms.
Description-md5: 3917da00287026520395b9b8a9f91649