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

Last updated: November 22,2024

1. Install "r-cran-estimatr" package

This guide covers the steps necessary to install r-cran-estimatr on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-estimatr
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-estimatr package on Kali Linux

Package: r-cran-estimatr
Version: 1.0.0-3
Installed-Size: 802
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-base-core (>= 4.2.2.20221110-1), r-api-4.0, r-cran-formula, r-cran-generics, r-cran-rcpp (>= 0.12.16), r-cran-rlang (>= 0.2.0), r-cran-rcppeigen, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Recommends: r-cran-aer, r-cran-clubsandwich, r-cran-emmeans (>= 1.4), r-cran-estimability, r-cran-prediction, r-cran-sandwich, r-cran-testthat, r-cran-car
Size: 453320
SHA256: fd3e660acf16eae0ea47c46a5e7e75ff94f0e6a4c69a1e0d252b838c3ea172ab
SHA1: 198431ebdcc78d90046af883e272dfdcf621f5ec
MD5sum: 7f0398343ab507a918d1e490e81af0fd
Description: GNU R fast estimators for design-based inference
Fast procedures for small set of commonly-used, design-appropriate
estimators with robust standard errors and confidence intervals.
Includes estimators for linear regression, instrumental variables
regression, difference-in-means, Horvitz-Thompson estimation, and
regression improving precision of experimental estimates by interacting
treatment with centered pre-treatment covariates introduced by Lin
(2013) .
Description-md5:
Homepage: https://cran.r-project.org/package=estimatr
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-estimatr/r-cran-estimatr_1.0.0-3_amd64.deb