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

Last updated: February 16,2025

1. Install "r-cran-tgp" package

Learn how to install r-cran-tgp on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-tgp
            
                    
    
    Copied

2. Uninstall "r-cran-tgp" package

Please follow the guidance below to uninstall r-cran-tgp on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-tgp
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-tgp
Version: 2.4-22-1
Installed-Size: 3518
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-maptree, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 5.2)
Suggests: r-cran-mass
Size: 2955820
SHA256: 8bc4dce73d52c75083a483ecc613992e172025dd86ccf81b9b0672181e6a14d0
SHA1: effe7fccd39e4631f6ab9a916ae663d6886c9754
MD5sum: 7939907ae80909be39687584be4ab6bf
Description: GNU R 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:
Homepage: https://cran.r-project.org/package=tgp
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-tgp/r-cran-tgp_2.4-22-1_amd64.deb