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A library of statistical types, data, and functions; documentation

This package provides the documentation for a library for the Haskell programming language. See 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.

Package version:


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 optimise


haskell-statistics ( unstable; urgency=low

  * Initial release. (Closes: #582552)

 -- Marco TĂșlio Gontijo e Silva <>  Fri, 21 May 2010 16:09:19 -0300


Name: statistics
Maintainer: Bryan O'Sullivan <>

Copyright: 2009-2010, Bryan O'Sullivan
License: BSD3
 Redistribution and use in source and binary forms, with or without
 modification, are permitt

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