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

Last updated: November 06,2024

1. Install "libghc-statistics-prof" package

This guide covers the steps necessary to install libghc-statistics-prof on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install libghc-statistics-prof

2. Uninstall "libghc-statistics-prof" package

Please follow the instructions below to uninstall libghc-statistics-prof on Ubuntu 16.04 LTS (Xenial Xerus):

$ sudo apt remove libghc-statistics-prof $ sudo apt autoclean && sudo apt autoremove

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

Package: libghc-statistics-prof
Priority: extra
Section: universe/haskell
Installed-Size: 11806
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Haskell Group
Architecture: amd64
Source: haskell-statistics
Version: 0.13.2.3-4build1
Provides: libghc-statistics-prof-0.13.2.3-ed3ae
Depends: libghc-statistics-dev (= 0.13.2.3-4build1), libghc-aeson-prof-0.10.0.0-f3d60, libghc-base-prof-4.8.2.0-0d6d1, libghc-binary-prof-0.7.5.0-bf6a9, libghc-deepseq-prof-1.4.1.1-614b6, libghc-erf-prof-2.0.0.0-5d248, libghc-math-functions-prof-0.1.5.2-7ad80, libghc-monad-par-prof-0.3.4.7-b946a, libghc-mwc-random-prof-0.13.3.2-168a8, libghc-primitive-prof-0.6.1.0-b2a7b, libghc-vector-prof-0.11.0.0-c6a21, libghc-vector-algorithms-prof-0.7.0.1-a4999, libghc-vector-binary-instances-prof-0.2.1.0-d6cd2
Filename: pool/universe/h/haskell-statistics/libghc-statistics-prof_0.13.2.3-4build1_amd64.deb
Size: 1024516
MD5sum: 147d91ff98e3313c9b1e2b6b501752d1
SHA1: 15d3916def0e29474d2244df28f450fef504148e
SHA256: 2ca215638e508668f257c73ebff587747d160eff838162cdfe0e311d3f7cb6cc
Description-en: A library of statistical types, data, and functions; profiling libraries
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 a library for the Haskell programming language, compiled
for profiling. See http://www.haskell.org/ for more information on Haskell.
Description-md5: 7428867a440f8abe033562bed8c0b323
Homepage: https://github.com/bos/statistics
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu