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haskell-statistics package

haskell-statistics 0.9.0.0-1build1 source package in Ubuntu

Changelog

haskell-statistics (0.9.0.0-1build1) precise; urgency=low

  * Rebuild for new GHC ABIs.
 -- Colin Watson <email address hidden>   Thu, 22 Dec 2011 09:29:51 +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_0.9.0.0.orig.tar.gz 31.5 KiB a70f3269c044f6e4dd9da894c710eb44896eb4a451aa097fa721002de74b97e7
haskell-statistics_0.9.0.0-1build1.debian.tar.gz 2.8 KiB d91780ad11cc389e664334abc0c2353d23eb89c9d48a8895d0407493c54d9c69
haskell-statistics_0.9.0.0-1build1.dsc 2.9 KiB 29760243a3fa2f50c41f0e578ead6f40c7f3ef42b6ab790618547da073e3116f

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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.