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haskell-statistics package

haskell-statistics 0.8.0.5-1build2 source package in Ubuntu

Changelog

haskell-statistics (0.8.0.5-1build2) precise; urgency=low

  * Rebuild for new GHC ABIs.
 -- Colin Watson <email address hidden>   Fri, 11 Nov 2011 17:12:41 +0000

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Uploaded by:
Colin Watson
Uploaded to:
Precise
Original maintainer:
Debian Haskell Group
Architectures:
any all
Section:
haskell
Urgency:
Low Urgency

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haskell-statistics_0.8.0.5.orig.tar.gz 30.0 KiB b6df0f211a231cbd84160a131664f2d1e7eb49edacce32b19e08d12879e8f967
haskell-statistics_0.8.0.5-1build2.debian.tar.gz 2.6 KiB 15aff4230f68e8fda404f36749b783709419ddd715a5d0064aa8396298776b62
haskell-statistics_0.8.0.5-1build2.dsc 2.7 KiB b5008db65f0ef909b8ef426a3aea36d93163fdd01fc0478831f0417dad7e2454

Available diffs

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Binary packages built by this source

libghc-statistics-dev: A library of statistical types, data, and functions

 This package provides a library for the Haskell programming language.
 See http://www.haskell.org/ for more information on Haskell.
 .
 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.

libghc-statistics-doc: A library of statistical types, data, and functions; documentation

 This package provides the documentation for a library for the Haskell
 programming language.
 See http://www.haskell.org/ for more information on Haskell.
 .
 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.

libghc-statistics-prof: A library of statistical types, data, and functions; profiling libraries

 This package provides a library for the Haskell programming language,
 compiled for profiling.
 See http://www.haskell.org/ for more information on Haskell.
 .
 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.