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

Last updated: May 10,2024

1. Install "r-cran-tmvnsim" package

Please follow the instructions below to install r-cran-tmvnsim on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-tmvnsim
            
                    
    
    Copied

2. Uninstall "r-cran-tmvnsim" package

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


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-cran-tmvnsim
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-tmvnsim
Source: r-cran-tmvnsim (1.0-2-1)
Version: 1.0-2-1+b1
Installed-Size: 70
Maintainer: Dirk Eddelbuettel
Architecture: amd64
Depends: libc6 (>= 2.29), r-base-core (>= 4.0.1-1), r-api-4.0, r-cran-rlang
Size: 20152
SHA256: 4d7030a9925eda4d2f1f07930960fa2bb7a61e2d6d09b3b0b2a3d1c59985a403
SHA1: 0449f0ffb4e5f57dc1d3c66dc731c20050daf89a
MD5sum: 5af105be560b1081709a4440d186f3ab
Description: GNU R package for truncated multivariate normal simulation
The package offers importance sampling from the truncated
multivariate normal using the GHK (Geweke-Hajivassiliou-Keane)
simulator. Unlike Gibbs sampling which can get stuck in one
truncation sub-region depending on initial values, this package
allows truncation based on disjoint regions that are created by
truncation of absolute values. The GHK algorithm uses simple Cholesky
transformation followed by recursive simulation of univariate
truncated normals hence there are also no convergence issues.
Importance sample is returned along with sampling weights, based on
which, one can calculate integrals over truncated regions for
multivariate normals.
Description-md5:
Homepage: https://cran.r-project.org/package=tmvnsim
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-tmvnsim/r-cran-tmvnsim_1.0-2-1+b1_amd64.deb