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

Last updated: November 23,2024

1. Install "r-cran-bayesm" package

This guide let you learn how to install r-cran-bayesm on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-bayesm
            
                    
    
    Copied

2. Uninstall "r-cran-bayesm" package

Here is a brief guide to show you how to uninstall r-cran-bayesm on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-bayesm
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-bayesm
Version: 3.1-6+dfsg-1
Installed-Size: 3029
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-rcpp (>= 0.12.0), r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 13.1)
Recommends: r-cran-knitr, r-cran-rmarkdown
Size: 1917456
SHA256: 536b65840d05d34d9be5e2a8dded886d6be8e6c139bd8244d37595d61c54134f
SHA1: a5f18031a5bf0c56c27be8474f999d22b01666f4
MD5sum: 659824f4c7edae42dbc766771887168d
Description: 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:
Homepage: https://cran.r-project.org/package=bayesm
Tag: devel::lang:r, field::mathematics, field::statistics, implemented-in::r,
suite::gnu
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-bayesm/r-cran-bayesm_3.1-6+dfsg-1_amd64.deb