haskell-statistics 0.13.2.3-4build1 source package in Ubuntu

Changelog

haskell-statistics (0.13.2.3-4build1) xenial; urgency=medium

  * Rebuild for new GHC ABIs.

 -- Colin Watson <email address hidden>  Mon, 25 Jan 2016 12:54:42 +0000

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Uploaded by:
Colin Watson on 2016-01-25
Uploaded to:
Xenial
Original maintainer:
Debian Haskell Group
Architectures:
any all
Section:
haskell
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release on 2016-02-10 universe haskell

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File Size SHA-256 Checksum
haskell-statistics_0.13.2.3.orig.tar.gz 77.7 KiB d624b1494959d3c64cfd068c9566778a799d3e3f5d6b22ec3e353ba6d6876fbd
haskell-statistics_0.13.2.3-4build1.debian.tar.xz 3.3 KiB edcf39a242fd7fa9f12a71d74970e219f8073cd64b0fb18d4ea642c76cea6022
haskell-statistics_0.13.2.3-4build1.dsc 3.0 KiB 2e190c8ff6cd9945712ef61fc29980c9088876838063110af2292ed9845467ee

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Binary packages built by this source

libghc-statistics-dev: No summary available for libghc-statistics-dev in ubuntu yakkety.

No description available for libghc-statistics-dev in ubuntu yakkety.

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.