How to Install and Uninstall libghc-statistics-doc Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 19,2024

1. Install "libghc-statistics-doc" package

This tutorial shows how to install libghc-statistics-doc on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libghc-statistics-doc
            
                    
    
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2. Uninstall "libghc-statistics-doc" package

In this section, we are going to explain the necessary steps to uninstall libghc-statistics-doc on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libghc-statistics-doc
            
                    
    
    Copied


    
        
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libghc-statistics-doc package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libghc-statistics-doc
Priority: extra
Section: universe/doc
Installed-Size: 2380
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Haskell Group
Architecture: all
Source: haskell-statistics
Version: 0.13.2.3-4build1
Depends: haddock-interface-27
Recommends: ghc-doc, libghc-aeson-doc, libghc-math-functions-doc, libghc-mwc-random-doc, libghc-primitive-doc, libghc-vector-algorithms-doc, libghc-vector-doc
Filename: pool/universe/h/haskell-statistics/libghc-statistics-doc_0.13.2.3-4build1_all.deb
Size: 160706
MD5sum: dc64b6fbe470b8db42ac9d342f86a768
SHA1: ded5f7170a2b9e4ab38cf81cd59b2e6bef4ce3b9
SHA256: 25ae540e76f4c8219205c1809d5c0e2a307b895f5ea02f1ad258ac5d85b26c3e
Description-en: 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: c02e66a35d02ee578723b8968d648a4f
Homepage: https://github.com/bos/statistics
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu