name: statistics version: 0.2 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. license: BSD3 license-file: LICENSE homepage: http://darcs.serpentine.com/statistics author: Bryan O'Sullivan maintainer: Bryan O'Sullivan copyright: 2009 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.Types build-depends: base < 5, erf, mersenne-random, uvector >= 0.1.0.4, uvector-algorithms >= 0.2 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 -O2 if impl(ghc >= 6.8) ghc-options: -fwarn-tabs