Ubuntu
haskell-statistics package

haskell-statistics 0.16.2.1-1build1 source package in Ubuntu

Changelog

haskell-statistics (0.16.2.1-1build1) oracular; urgency=medium

  * Rebuild against new GHC ABIs.

 -- Gianfranco Costamagna <email address hidden>  Wed, 15 May 2024 13:45:50 +0200

Upload details

Uploaded by:
Gianfranco Costamagna
Uploaded to:
Oracular
Original maintainer:
Debian Haskell Group
Architectures:
any all
Section:
haskell
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe haskell

Downloads

File Size SHA-256 Checksum
haskell-statistics_0.16.2.1.orig.tar.gz 105.4 KiB a7c0c068a0d1f784d865163748a40fbbdda48febe3b905063a22ce7a32e05ce4
haskell-statistics_0.16.2.1-1build1.debian.tar.xz 3.9 KiB 9ebb08da39a78cb62ff8875d9f504b022caf86b2af0ebe3347a6727df229e49a
haskell-statistics_0.16.2.1-1build1.dsc 3.5 KiB 23253063ee814af71fba989a11832871472da2c2b9641c71192a3701b8b037ba

View changes file

Binary packages built by this source

libghc-statistics-dev: 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.

libghc-statistics-doc: 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.

libghc-statistics-prof: 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.