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

Last updated: May 12,2024

1. Install "r-cran-bayesm" package

Please follow the instructions below to install r-cran-bayesm on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This is a short guide on how to uninstall r-cran-bayesm on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                r-cran-bayesm
            
                    
    
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            $
        

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

Package: r-cran-bayesm
Priority: optional
Section: universe/math
Installed-Size: 2366
Maintainer: Ubuntu Developers
Original-Maintainer: Chris Lawrence
Architecture: amd64
Version: 3.0-2-2
Depends: r-base-core (>= 3.2.1-4), r-api-3, libblas3 | libblas.so.3, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), liblapack3 | liblapack.so.3, libstdc++6 (>= 5.2)
Filename: pool/universe/r/r-cran-bayesm/r-cran-bayesm_3.0-2-2_amd64.deb
Size: 1567630
MD5sum: 88e865de79bc0aea2c150859c1b74972
SHA1: 77f380a67f15daa3c33362f2ade14c3684bec2e7
SHA256: 25758fe4d0b53bd92d303c0f64ca4383b28315006a6ced4ee829188fae871455
Description-en: GNU R package for Bayesian inference
The bayesm package covers many important models used in marketing and
micro-econometrics applications. The package includes:
.
* Bayes Regression (univariate or multivariate dep var)
* Multinomial Logit (MNL) and Multinomial Probit (MNP)
* Multivariate Probit,
* Multivariate Mixtures of Normals
* Hierarchical Linear Models with normal prior and covariates
* Hierarchical Multinomial Logits with mixture of normals prior and
covariates
* Bayesian analysis of choice-based conjoint data
* Bayesian treatment of linear instrumental variables models
* Analyis of Multivariate Ordinal survey data with scale usage heterogeneity
(as in Rossi et al, JASA (01)).
.
For further reference, consult the authors' book, _Bayesian Statistics and
Marketing_ by Allenby, McCulloch and Rossi.
Description-md5: 6f649751db2fffd16683aa065ef0eeca
Homepage: http://www.perossi.org/home/bsm-1
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu