How to Install and Uninstall libghc-statistics-dev Package on Kali Linux
Last updated: November 26,2024
1. Install "libghc-statistics-dev" package
Please follow the guidance below to install libghc-statistics-dev on Kali Linux
$
sudo apt update
Copied
$
sudo apt install
libghc-statistics-dev
Copied
2. Uninstall "libghc-statistics-dev" package
This guide let you learn how to uninstall libghc-statistics-dev on Kali Linux:
$
sudo apt remove
libghc-statistics-dev
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the libghc-statistics-dev package on Kali Linux
Package: libghc-statistics-dev
Source: haskell-statistics (0.16.2.1-1)
Version: 0.16.2.1-1+b1
Installed-Size: 17328
Maintainer: Debian Haskell Group
Architecture: amd64
Provides: libghc-statistics-dev-0.16.2.1-95aa9
Depends: libghc-aeson-dev-2.1.2.1-a5136, libghc-async-dev-2.2.4-2b734, libghc-base-dev-4.17.2.0-68dfe, libghc-binary-dev-0.8.9.1-6a9d2, libghc-data-default-class-dev-0.1.2.0-50c88, libghc-deepseq-dev-1.4.8.0-ddf16, libghc-dense-linear-algebra-dev-0.1.0.0-360b2, libghc-math-functions-dev-0.3.4.2-08752, libghc-mwc-random-dev-0.15.0.2-4e96f, libghc-parallel-dev-3.2.2.0-afc9a, libghc-primitive-dev-0.8.0.0-a075c, libghc-random-dev-1.2.1.1-68746, libghc-vector-algorithms-dev-0.9.0.1-9226e, libghc-vector-binary-instances-dev-0.2.5.2-e0127, libghc-vector-dev-0.13.1.0-1ffee, libghc-vector-th-unbox-dev-0.2.2-782ae, libc6 (>= 2.29), libgmp10 (>= 2:6.3.0+dfsg)
Size: 1670504
SHA256: e9eb8a3303f04442b743d5faba3adaa62183ea2e6529b6fb6a99371c7fab7a12
SHA1: dff429742e6c21b1694b31abf40c4409ed727d18
MD5sum: be769b5929ee36819058693455283869
Description: A library of statistical types, data, and functions
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, regression and autocorrelation analysis.
.
Random variate generation under several different distributions.
.
This package provides 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
Ghc-Package: statistics-0.16.2.1-86HNNeCg0jTAUPuU17kfBH
Section: haskell
Priority: optional
Filename: pool/main/h/haskell-statistics/libghc-statistics-dev_0.16.2.1-1+b1_amd64.deb
Source: haskell-statistics (0.16.2.1-1)
Version: 0.16.2.1-1+b1
Installed-Size: 17328
Maintainer: Debian Haskell Group
Architecture: amd64
Provides: libghc-statistics-dev-0.16.2.1-95aa9
Depends: libghc-aeson-dev-2.1.2.1-a5136, libghc-async-dev-2.2.4-2b734, libghc-base-dev-4.17.2.0-68dfe, libghc-binary-dev-0.8.9.1-6a9d2, libghc-data-default-class-dev-0.1.2.0-50c88, libghc-deepseq-dev-1.4.8.0-ddf16, libghc-dense-linear-algebra-dev-0.1.0.0-360b2, libghc-math-functions-dev-0.3.4.2-08752, libghc-mwc-random-dev-0.15.0.2-4e96f, libghc-parallel-dev-3.2.2.0-afc9a, libghc-primitive-dev-0.8.0.0-a075c, libghc-random-dev-1.2.1.1-68746, libghc-vector-algorithms-dev-0.9.0.1-9226e, libghc-vector-binary-instances-dev-0.2.5.2-e0127, libghc-vector-dev-0.13.1.0-1ffee, libghc-vector-th-unbox-dev-0.2.2-782ae, libc6 (>= 2.29), libgmp10 (>= 2:6.3.0+dfsg)
Size: 1670504
SHA256: e9eb8a3303f04442b743d5faba3adaa62183ea2e6529b6fb6a99371c7fab7a12
SHA1: dff429742e6c21b1694b31abf40c4409ed727d18
MD5sum: be769b5929ee36819058693455283869
Description: A library of statistical types, data, and functions
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, regression and autocorrelation analysis.
.
Random variate generation under several different distributions.
.
This package provides 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
Ghc-Package: statistics-0.16.2.1-86HNNeCg0jTAUPuU17kfBH
Section: haskell
Priority: optional
Filename: pool/main/h/haskell-statistics/libghc-statistics-dev_0.16.2.1-1+b1_amd64.deb