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:

Changes in 0.10.1.0

Changed in 0.10.0.1

Changes in 0.10.0.0:


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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, 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
Change logNone available
Dependenciesbase (<5), deepseq (>=1.1.0.2 && <1.4), erf, math-functions (>=0.1.1), monad-par (>=0.1.0.1), mwc-random (>=0.11.0.0), primitive (>=0.3), vector (>=0.7.1), vector-algorithms (>=0.4) [details]
LicenseBSD3
Copyright2009, 2010, 2011 Bryan O'Sullivan
AuthorBryan O'Sullivan <bos@serpentine.com>
MaintainerBryan O'Sullivan <bos@serpentine.com>
CategoryMath, Statistics
Home pagehttps://github.com/bos/statistics
Bug trackerhttps://github.com/bos/statistics/issues
Source repositoryhead: git clone https://github.com/bos/statistics
head: hg clone https://bitbucket.org/bos/statistics
UploadedFri Jan 13 22:18:55 UTC 2012 by BryanOSullivan
UpdatedMon Jan 5 20:58:15 UTC 2015 by HerbertValerioRiedel to revision 1
DistributionsDebian:0.13.2.3, FreeBSD:0.13.2.3, LTSHaskell:0.13.2.3, NixOS:0.13.2.3, Stackage:0.13.2.3
Downloads24438 total (772 in last 30 days)
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StatusDocs uploaded by user
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For package maintainers and hackage trustees

Readme for statistics-0.10.1.0

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 github issue tracker.

Master git mirror:

There's also a Mercurial mirror:

(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.