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name: statistics
version: 0.5.1.1
synopsis: A library of statistical types, data, and functions
description:
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 three 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, and autocorrelation analysis.
.
Random variate generation under several different distributions.
license: BSD3
license-file: LICENSE
homepage: http://darcs.serpentine.com/statistics
author: Bryan O'Sullivan <bos@serpentine.com>
maintainer: Bryan O'Sullivan <bos@serpentine.com>
copyright: 2009, 2010 Bryan O'Sullivan
category: Math, Statistics
build-type: Simple
cabal-version: >= 1.2
extra-source-files: README
library
exposed-modules:
Statistics.Autocorrelation
Statistics.Constants
Statistics.Distribution
Statistics.Distribution.Binomial
Statistics.Distribution.Gamma
Statistics.Distribution.Geometric
Statistics.Distribution.Exponential
Statistics.Distribution.Hypergeometric
Statistics.Distribution.Normal
Statistics.Distribution.Poisson
Statistics.Function
Statistics.KernelDensity
Statistics.Math
Statistics.Quantile
Statistics.Resampling
Statistics.Resampling.Bootstrap
Statistics.Sample
Statistics.Sample.Powers
Statistics.Types
other-modules:
Statistics.Internal
build-depends:
base < 5,
erf,
mwc-random >= 0.5.0.0,
primitive,
time,
vector >= 0.5,
vector-algorithms >= 0.3
if impl(ghc >= 6.10)
build-depends:
base >= 4
-- gather extensive profiling data for now
ghc-prof-options: -auto-all
ghc-options: -Wall -funbox-strict-fields
if impl(ghc >= 6.8)
ghc-options: -fwarn-tabs
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