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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
[github issue tracker](https://github.com/bos/statistics/issues).
Master [git mirror](https://github.com/bos/statistics):
* `git clone git://github.com/bos/statistics.git`
There's also a [Mercurial mirror](https://bitbucket.org/bos/statistics):
* `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>.
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