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haskell-statistics package

haskell-statistics 0.15.0.0-1build1 source package in Ubuntu

Changelog

haskell-statistics (0.15.0.0-1build1) eoan; urgency=medium

  * Rebuild against new GHC abi.

 -- Gianfranco Costamagna <email address hidden>  Tue, 03 Sep 2019 08:25:34 +0200

Upload details

Uploaded by:
Gianfranco Costamagna on 2019-09-03
Uploaded to:
Eoan
Original maintainer:
Debian Haskell Group
Architectures:
any all
Section:
haskell
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release on 2019-10-18 universe haskell
Eoan release on 2019-09-09 universe haskell

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File Size SHA-256 Checksum
haskell-statistics_0.15.0.0.orig.tar.gz 95.1 KiB 95e9c45c95e81a35c7bd7443e8d6626fd100505a567de47622185fe9c8be6472
haskell-statistics_0.15.0.0-1build1.debian.tar.xz 3.8 KiB 44a8fe6cc0cac7f206cafbe7deddb1c70218916886c231e15aa799ec4aca15a6
haskell-statistics_0.15.0.0-1build1.dsc 3.4 KiB 59e4e8d2b53a7815d4d44d3b9e439c1059d9a789de0ad44ff6b708f3b5117fb6

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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.