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

Last updated: May 09,2024

1. Install "r-cran-bayesfm" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-bayesfm
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-bayesfm package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-bayesfm
Architecture: amd64
Version: 0.1.4-1
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: 335
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-checkmate (>= 1.8.0), r-cran-coda, r-cran-ggplot2 (>= 2.1.0), r-cran-gridextra, r-cran-plyr (>= 1.8.0), libc6 (>= 2.29), libgfortran5 (>= 10), liblapack3 | liblapack.so.3
Filename: pool/universe/r/r-cran-bayesfm/r-cran-bayesfm_0.1.4-1_amd64.deb
Size: 198904
MD5sum: 892ddf6117c924b336acb7a505ffca68
SHA1: 3e259366c6f7c024cb916118751c08fc1640dcce
SHA256: 297dbca519d72be5e6a218f447ef48029086595cec343b54fe88d4222d22f8a4
SHA512: b0a0c1b62795945ea9e7dd71f4006923bbe159abb42a9b61ae0e5fa8bae9aae376fc1d234b03fb90d57880a2ce9339328c37b4a43e6273b0f933243cc0b9071f
Homepage: https://cran.r-project.org/package=BayesFM
Description-en: GNU R Bayesian inference for factor modeling
Collection of procedures to perform Bayesian analysis on a variety
of factor models. Currently, it includes: Bayesian Exploratory Factor
Analysis (befa), an approach to dedicated factor analysis with stochastic
search on the structure of the factor loading matrix. The number of latent
factors, as well as the allocation of the manifest variables to the factors,
are not fixed a priori but determined during MCMC sampling.
More approaches will be included in future releases of this package.
Description-md5: 46d1c4a09a99a7f20a1099229096521d