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

[ bsd2, library, math, statistics ] [ Propose Tags ]

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.

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Versions [RSS] 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, 0.5.0.0, 0.5.1.0, 0.5.1.1, 0.5.1.2, 0.6.0.0, 0.6.0.1, 0.6.0.2, 0.7.0.0, 0.8.0.0, 0.8.0.1, 0.8.0.2, 0.8.0.3, 0.8.0.4, 0.8.0.5, 0.9.0.0, 0.10.0.0, 0.10.0.1, 0.10.1.0, 0.10.2.0, 0.10.3.0, 0.10.3.1, 0.10.4.0, 0.10.4.1, 0.10.5.0, 0.10.5.1, 0.10.5.2, 0.11.0.0, 0.11.0.1, 0.11.0.2, 0.11.0.3, 0.12.0.0, 0.13.1.0, 0.13.1.1, 0.13.2.0, 0.13.2.1, 0.13.2.2, 0.13.2.3, 0.13.3.0, 0.14.0.0, 0.14.0.1, 0.14.0.2, 0.15.0.0, 0.15.1.0, 0.15.1.1, 0.15.2.0, 0.16.0.0, 0.16.0.1, 0.16.0.2, 0.16.1.0, 0.16.1.1, 0.16.1.2, 0.16.2.0, 0.16.2.1 (info)
Dependencies base (<5), erf, mersenne-random, uvector (>=0.1.0.4), uvector-algorithms (>=0.2) [details]
License BSD-3-Clause
Copyright 2009 Bryan O'Sullivan
Author Bryan O'Sullivan <bos@serpentine.com>
Maintainer Bryan O'Sullivan <bos@serpentine.com>
Category Math, Statistics
Home page http://darcs.serpentine.com/statistics
Uploaded by BryanOSullivan at 2009-09-14T06:24:26Z
Distributions Arch:0.16.2.1, Debian:0.15.2.0, Fedora:0.16.2.0, FreeBSD:0.13.2.3, LTSHaskell:0.16.2.1, NixOS:0.16.2.1, Stackage:0.16.2.1, openSUSE:0.16.2.1
Reverse Dependencies 64 direct, 3572 indirect [details]
Downloads 116103 total (439 in the last 30 days)
Rating 2.25 (votes: 2) [estimated by Bayesian average]
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Status Docs uploaded by user
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Readme for statistics-0.2.2

[back to package description] 
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.


Source code
-----------

darcs get http://darcs.serpentine.com/statistics


Authors
-------

Bryan O'Sullivan <bos@serpentine.com>