haskell-statistics 0.14.0.2-3 source package in Ubuntu

Changelog

haskell-statistics (0.14.0.2-3) unstable; urgency=medium

  [ Clint Adams ]
  * Set Rules-Requires-Root to no.

  [ Ilias Tsitsimpis ]
  * Bump debhelper compat level to 10

 -- Ilias Tsitsimpis <email address hidden>  Sun, 30 Sep 2018 21:21:34 +0300

Upload details

Uploaded by:
Debian Haskell Group on 2018-10-01
Uploaded to:
Sid
Original maintainer:
Debian Haskell Group
Architectures:
any all
Section:
haskell
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Disco release on 2018-12-20 universe haskell

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File Size SHA-256 Checksum
haskell-statistics_0.14.0.2-3.dsc 3.2 KiB e613e5312a64c5923720ce52ab74eab2cb9ffdba4d1bd6966617879365c90c65
haskell-statistics_0.14.0.2.orig.tar.gz 97.3 KiB 3495df2da42c9fcc5b594b97f16c02353bfd6616d6e134ac031dac389d7a4778
haskell-statistics_0.14.0.2-3.debian.tar.xz 3.8 KiB 008164f03fdbdabf0a010887fe525e58cd8aeb769f947cc8924503aeff5df6d5

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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.