How to Install and Uninstall r-cran-lavasearch2 Package on Kali Linux

Last updated: May 02,2024

1. Install "r-cran-lavasearch2" package

Please follow the guidance below to install r-cran-lavasearch2 on Kali Linux


    
        
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                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-lavasearch2
            
                    
    
    Copied

2. Uninstall "r-cran-lavasearch2" package

In this section, we are going to explain the necessary steps to uninstall r-cran-lavasearch2 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-lavasearch2
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-lavasearch2 package on Kali Linux

Package: r-cran-lavasearch2
Version: 2.0.2+dfsg-1
Installed-Size: 1571
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-ggplot2, r-cran-lava (>= 1.6.4), r-cran-abind, r-cran-doparallel, r-cran-mass, r-cran-matrix, r-cran-multcomp, r-cran-mvtnorm, r-cran-nlme, r-cran-rcpp, r-cran-reshape2, r-cran-sandwich, 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-clubsandwich, r-cran-data.table, r-cran-foreach, r-cran-emmeans, r-cran-lme4, r-cran-lmertest, r-cran-numderiv, r-cran-pbapply, r-cran-pbkrtest, r-cran-r.rsp, r-cran-riskregression, r-cran-survival, r-cran-testthat
Size: 1145752
SHA256: 9fe53893a942abf7e5195e0602dc369841f4e5e274af331f7d8d5bbaaa60124a
SHA1: d4cba6ba76545678c98c44cda8432e6a5b024e99
MD5sum: 32ee56b97411c451db8377e12d0d0a5e
Description: GNU R tools for model specification in the latent variable framework
Tools for model specification in the latent variable framework (add-on
to the 'lava' package). The package contains three main functionalities:
Wald tests/F-tests with improved control of the type 1 error in small
samples, adjustment for multiple comparisons when searching for local
dependencies, and adjustment for multiple comparisons when doing
inference for multiple latent variable models.
Description-md5:
Homepage: https://cran.r-project.org/package=lavaSearch2
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-lavasearch2/r-cran-lavasearch2_2.0.2+dfsg-1_amd64.deb