The statistics package

[Tags: bsd3, library]

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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Versions0.1, 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,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Dependenciesaeson (>=, base (>=4.4 && <5), binary (>=, deepseq (>=, erf, ghc-prim, math-functions (>=, monad-par (>=0.3.4), mwc-random (>=, primitive (>=0.3), vector (>=0.7.1), vector-algorithms (>=0.4), vector-binary-instances (>=0.2.1) [details]
Copyright2009-2014 Bryan O'Sullivan
AuthorBryan O'Sullivan <>
MaintainerBryan O'Sullivan <>
CategoryMath, Statistics
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Source repositoryhead: git clone
head: hg clone
UploadedWed Jul 16 18:31:11 UTC 2014 by BryanOSullivan
DistributionsDebian:, FreeBSD:, LTSHaskell:, NixOS:, Stackage:
Downloads25621 total (199 in last 30 days)
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StatusDocs available [build log]
Successful builds reported [all 1 reports]




Maintainers' corner

For package maintainers and hackage trustees

Readme for statistics-

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:

There's also a Mercurial mirror:

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


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