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haskell-statistics package

haskell-statistics 0.9.0.0-1 source package in Ubuntu

Changelog

haskell-statistics (0.9.0.0-1) unstable; urgency=low


  [ Joachim Breitner ]
  * Added missing copyright holders

  [ Iulian Udrea ]
  * New upstream release.
  * Depend on libghc-deepseq-dev (>= 1.1.0.2).
  * Depend on libghc-monad-par-dev (>= 0.1.0.1).
  * Depend on libghc-mwc-random-dev (>= 0.8.0.5).
  * Add myself to Uploaders.
  * Add DM-Upload-Allowed: yes.
  * Bump Standards-Version to 3.9.2; no changes required.
  * Update copyright years and Source URL.

 -- Iulian Udrea <email address hidden>  Thu, 01 Sep 2011 17:44:12 +0100

Upload details

Uploaded by:
Debian Haskell Group
Uploaded to:
Sid
Original maintainer:
Debian Haskell Group
Architectures:
any
Section:
haskell
Urgency:
Low Urgency

See full publishing history Publishing

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File Size SHA-256 Checksum
haskell-statistics_0.9.0.0-1.dsc 2.1 KiB 4aa5bf259218c3d2bf1c9f8d270dee713d7f84b13117d3725e237673b5963ad3
haskell-statistics_0.9.0.0.orig.tar.gz 31.5 KiB a70f3269c044f6e4dd9da894c710eb44896eb4a451aa097fa721002de74b97e7
haskell-statistics_0.9.0.0-1.debian.tar.gz 2.7 KiB 0a1ef5e19b270082b1e6c8d8d872eb4232e1116c48cb0a7e38cf3a3dcf2c20ac

No changes file available.

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.