How to Install and Uninstall libscythestat-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: July 02,2024

1. Install "libscythestat-dev" package

This tutorial shows how to install libscythestat-dev on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libscythestat-dev
            
                    
    
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2. Uninstall "libscythestat-dev" package

Learn how to uninstall libscythestat-dev on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libscythestat-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libscythestat-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libscythestat-dev
Priority: extra
Section: universe/libdevel
Installed-Size: 744
Maintainer: Ubuntu Developers
Original-Maintainer: Steffen Moeller
Architecture: all
Source: scythestat
Version: 1.0.2-1
Recommends: g++ (>= 4.0.1) | c++-compiler
Filename: pool/universe/s/scythestat/libscythestat-dev_1.0.2-1_all.deb
Size: 117210
MD5sum: 2ca73eabe18bd5eb0cf04aa85701ec43
SHA1: 5d05ff5becae46041c962b6d6c87597df7e4e263
SHA256: c4e438c9629e771ac4aebd11d2f5a4b9bd20f6ba4f3a8cf30d5bad6d1599bc7f
Description-en: header files for Scythe statistics library.
Files provided by this package are required to develop new programs
with the Scythe library. There is no binary library associated
with these headers, i.e. all template code is contained within
and no further dependencies are required at runtime
.
The Scythe Statistical Library is an open source C++ library for
statistical computation. It includes a suite of matrix manipulation
functions, a suite of pseudo-random number generators, and a suite
of numerical optimizers. Programs written using Scythe are generally
much faster than those written in commonly used interpreted
languages, such as R, Matlab, and GAUSS; and can be compiled on any
system with the GNU GCC compiler (and perhaps with other C++
compilers). One of the primary design goals of the Scythe developers
has been ease of use for non-expert C++ programmers. Ease of use is
provided through three primary mechanisms: (1) operator and function
over-loading, (2) numerous pre-fabricated utility functions, and (3)
clear documentation and example programs. Additionally, Scythe is
quite flexible and entirely extensible because the source code is
available to all users.
Description-md5: 8452ad89b0ee9320cc71ff06ab1dc51c
Homepage: http://scythe.wustl.edu
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu