statistics: A library of statistical types, data, and functions

[ bsd2, library, math, statistics ] [ Propose Tags ]
Versions 0.1, 0.2, 0.2.1, 0.2.2, 0.3, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.5, 0.3.6, 0.4.0, 0.4.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Change log ChangeLog
Dependencies base (<5), deepseq (>= && <1.4), erf, math‑functions (>=0.1.2), monad‑par (>=0.3.4), mwc‑random (>=, primitive (>=0.3), vector (>=0.7.1), vector‑algorithms (>=0.4) [details]
License BSD-3-Clause
Copyright 2009, 2010, 2011 Bryan O'Sullivan
Author Bryan O'Sullivan <>
Maintainer Bryan O'Sullivan <>
Revised Revision 1 made by HerbertValerioRiedel at Mon Jan 5 20:57:20 UTC 2015
Category Math, Statistics
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Source repo head: git clone
head: hg clone
Uploaded by BryanOSullivan at Wed Apr 17 23:15:46 UTC 2013
Distributions Arch:, Debian:, Fedora:, FreeBSD:, LTSHaskell:, NixOS:, Stackage:, openSUSE:
Downloads 55026 total (443 in the last 30 days)
Rating 2.0 (votes: 1) [estimated by rule of succession]
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This library provides a number of common functions and types useful in statistics. We focus 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 four broad categories:

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Note: This package has metadata revisions in the cabal description newer than included in the tarball. To unpack the package including the revisions, use 'cabal get'.

Maintainer's Corner

For package maintainers and hackage trustees

Readme for statistics-

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Statistics: efficient, general purpose statistics

This package provides the Statistics module, a Haskell library for working with statistical data in a space- and time-efficient way.

Where possible, we give citations and computational complexity estimates for the algorithms used.


This library has been carefully optimised for high performance. To obtain the best runtime efficiency, it is imperative to compile libraries and applications that use this library using a high level of optimisation.

Get involved!

Please report bugs via the github issue tracker.

Master git mirror:

  • git clone git://

There's also a Mercurial mirror:

  • hg clone

(You can create and contribute changes using either Mercurial or git.)


This library is written and maintained by Bryan O'Sullivan,