How to Install and Uninstall r-cran-tgp Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: September 20,2024

1. Install "r-cran-tgp" package

This guide let you learn how to install r-cran-tgp on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

In this section, we are going to explain the necessary steps to uninstall r-cran-tgp on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                r-cran-tgp
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-tgp package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: r-cran-tgp
Priority: optional
Section: universe/gnu-r
Installed-Size: 2821
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Version: 2.4-9-1
Depends: r-base-core (>= 3.0.1-3ubuntu1), libblas3 | libblas.so.3, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), liblapack3 | liblapack.so.3, libstdc++6 (>= 4.4.0)
Filename: pool/universe/r/r-cran-tgp/r-cran-tgp_2.4-9-1_amd64.deb
Size: 2379212
MD5sum: 446ddbd424d90f3c7e254d2ef50fe254
SHA1: 58117c59f98ea3d89bed8ccb9e0981abea04f24c
SHA256: cbf5c9d46e1710c13f41998aeb3fa308c5b89a78dcdc2a368c63353309f6102a
Description-en: GNU R package "tgp: Bayesian treed Gaussian process models"
Bayesian nonstationary, semiparametric nonlinear regression and design by
treed Gaussian processes (GPs) with jumps to the limiting linear model (LLM).
Special cases also implemented include Bayesian linear models, CART, treed
linear models, stationary separable and isotropic GPs, and GP single-index
models. Provides 1-d and 2-d plotting functions (with projection and slice
capabilities) and tree drawing, designed for visualization of tgp-class
output. Sensitivity analysis and multi-resolution models are supported.
Sequential experimental design and adaptive sampling functions are also
provided, including ALM, ALC, and expected improvement. The latter supports
derivative-free optimization of noisy black-box functions.
Description-md5: a031a8d04869c757c0aed7cd3cef4ef6
Homepage: http://cran.r-project.org/web/packages/tgp/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu