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:


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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 logchangelog.md
Dependenciesaeson (>=0.6.0.0), base (>=4.4 && <5), binary (>=0.5.1.0), deepseq (>=1.1.0.2), erf, ghc-prim, math-functions (>=0.1.5.2), monad-par (>=0.3.4), mwc-random (>=0.13.0.0), primitive (>=0.3), vector (>=0.10), vector-algorithms (>=0.4), vector-binary-instances (>=0.2.1) [details]
LicenseBSD3
Copyright2009-2014 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
UploadedTue Mar 24 23:19:17 UTC 2015 by BryanOSullivan
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
Downloads24537 total (750 in last 30 days)
Votes
0 []
StatusDocs available [build log]
Last success reported on 2015-03-25 [all 1 reports]

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Maintainers' corner

For package maintainers and hackage trustees

Readme for statistics-0.13.2.3

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.

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.