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

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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 four 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, signigicance testing, and autocorrelation analysis.

Random variate generation under several different distributions.

Common statistical tests for significant differences between samples.

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statistics-0.8.0.3.tar.gz [browse] (Cabal source package)
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AlexeyKhudyakov, BryanOSullivan

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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, mwc-random (>=0.7.0.0), primitive (>=0.3), time, vector (>=0.6.0.2), vector-algorithms (>=0.3.2 && <0.4) [details]
License	BSD-3-Clause
Copyright	2009, 2010 Bryan O'Sullivan
Author	Bryan O'Sullivan <bos@serpentine.com>
Maintainer	Bryan O'Sullivan <bos@serpentine.com>
Revised	Revision 1 made by HerbertValerioRiedel at 2015-01-10T21:21:49Z
Category	Math, Statistics
Home page	http://bitbucket.org/bos/statistics
Bug tracker	http://bitbucket.org/bos/statistics/issues
Source repo	head: hg clone http://bitbucket.org/bos/statistics
Uploaded	by BryanOSullivan at 2010-10-11T03:58:29Z
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	65 direct, 3635 indirect [details]
Downloads	120568 total (561 in the last 30 days)
Rating	2.25 (votes: 2) [estimated by Bayesian average]
Your Rating	λ λ λ
Status	Docs uploaded by user Build status unknown [no reports yet]

Readme for statistics-0.8.0.3

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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.

Performance

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.

Suggested GHC options:

-O -funbox-strict-fields

To illustrate, here are the times (in seconds) to generate and sum 250 million random Word32 values, on a laptop with a 2.4GHz Core2 Duo P8600 processor, running Fedora 11 and GHC 6.10.3:

no flags   200+
-O           1.249
-O -fvia-C   0.991

As the numbers above suggest, compiling without optimisation will yield unacceptable performance.

Get involved!

Please report bugs via the bitbucket issue tracker.

Master Mercurial repository:

hg clone http://bitbucket.org/bos/statistics

There's also a git mirror:

git clone git://github.com/bos/statistics.git

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

Authors

This library is written and maintained by Bryan O'Sullivan, bos@serpentine.com.