The statistics package

[Tags:bsd3, library]

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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Properties

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, 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
Dependencies base (<5), erf, mersenne-random, uvector (>=0.1.0.4), uvector-algorithms (>=0.2) [details]
License BSD3
Copyright 2009 Bryan O'Sullivan
Author Bryan O'Sullivan <bos@serpentine.com>
Maintainer Bryan O'Sullivan <bos@serpentine.com>
Stability Unknown
Category Math, Statistics
Home page http://darcs.serpentine.com/statistics
Uploaded Sun Sep 13 00:04:16 UTC 2009 by BryanOSullivan
Distributions Arch:0.13.3.0, Debian:0.13.2.3, FreeBSD:0.13.2.3, LTSHaskell:0.13.3.0, NixOS:0.13.3.0, Stackage:0.13.3.0
Downloads 26965 total (211 in the last 30 days)
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Status Docs uploaded by user
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For package maintainers and hackage trustees

Readme for statistics

Readme for statistics-0.2

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>