How to Install and Uninstall libghc-statistics-doc Package on Kali Linux

Last updated: November 05,2024

1. Install "libghc-statistics-doc" package

Please follow the guidelines below to install libghc-statistics-doc on Kali Linux


    
        
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                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libghc-statistics-doc
            
                    
    
    Copied

2. Uninstall "libghc-statistics-doc" package

Please follow the step by step instructions below to uninstall libghc-statistics-doc on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libghc-statistics-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libghc-statistics-doc package on Kali Linux

Package: libghc-statistics-doc
Source: haskell-statistics
Version: 0.16.2.1-1
Installed-Size: 8849
Maintainer: Debian Haskell Group
Architecture: all
Depends: haddock-interface-41
Recommends: ghc-doc, libghc-aeson-doc, libghc-async-doc, libghc-data-default-class-doc, libghc-dense-linear-algebra-doc, libghc-math-functions-doc, libghc-mwc-random-doc, libghc-parallel-doc, libghc-primitive-doc, libghc-random-doc, libghc-statistics-dev, libghc-vector-algorithms-doc, libghc-vector-binary-instances-doc, libghc-vector-doc, libghc-vector-th-unbox-doc, libjs-mathjax
Suggests: libghc-statistics-prof
Size: 356528
SHA256: c78eb8c7c52ebfca4f691e9cbc4fcc3061caf7347606781f7e211de758b2dede
SHA1: 43061add57ee931cbd731f45a78722615ea89f0a
MD5sum: a63894aa00e354fb84649e4ac10cd872
Description: A library of statistical types, data, and functions; documentation
This library provides a number of common functions and types useful
in statistics. Our focus is on high performance, numerical
robustness, and use of good algorithms. Where possible, we provide
references to the statistical literature.
.
The library's facilities can be divided into three broad categories:
.
Working with widely used discrete and continuous probability
distributions. (There are dozens of exotic distributions in use; we
focus on the most common.)
.
Computing with sample data: quantile estimation, kernel density
estimation, bootstrap methods, and autocorrelation analysis.
.
Random variate generation under several different distributions.
.
This package provides the documentation for a library for the Haskell
programming language.
See http://www.haskell.org/ for more information on Haskell.
Description-md5:
Homepage: https://github.com/haskell/statistics
Tag: devel::doc, devel::lang:haskell, field::statistics, role::documentation
Section: doc
Priority: optional
Filename: pool/main/h/haskell-statistics/libghc-statistics-doc_0.16.2.1-1_all.deb