A fast, high quality library for computing with statistics in Haskell.
Haskell Other
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
Statistics Update haddock for S.Types module Aug 24, 2016
benchmark Implementation of Spearman and Pearson corrrelation Jan 13, 2015
examples/kde Update example KDE.hs to newer hastache Dec 30, 2014
tests Fix t_impulse_offset test for FFT for QC>=2.9 Jul 11, 2016
.gitignore Add a .gitignore. Jul 25, 2016
.hgignore
.hgtags Added tag 0.13.3.0 for changeset ca30efd89890 Jun 2, 2016
LICENSE
README.markdown Remove obsolete information from README Apr 18, 2012
Setup.lhs Initial commit. Sep 7, 2009
changelog.md Change bootstrap API once again Jul 14, 2016
statistics.cabal Bump version Jul 11, 2016

README.markdown

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:

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

There's also a Mercurial mirror:

  • hg clone https://bitbucket.org/bos/statistics

(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.