name: statistics version: 0.10.0.0 x-revision: 1 synopsis: A library of statistical types, data, and functions description: 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: . * 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, histograms, bootstrap methods, significance testing, and autocorrelation analysis. . * Random variate generation under several different distributions. . * Common statistical tests for significant differences between samples. . Changes in 0.10.0.0: . * The type classes @Mean@ and @Variance@ are split in two. This is required for distributions which do not have finite variance or mean. . * The @S.Sample.KernelDensity@ module has been renamed, and completely rewritten to be much more robust. The older module oversmoothed multi-modal data. (The older module is still available under the name @S.Sample.KernelDensity.Simple@). . * Histogram computation is added, in @S.Sample.Histogram@. . * Forward and inverse discrete Fourier and cosine transforms are added, in @S.Transform@. . * Root finding is added, in @S.Math.RootFinding@. . * The @complCumulative@ function is added to the @Distribution@ class in order to accurately assess probalities P(X>x) which are used in one-tailed tests. . * A @stdDev@ function is added to the @Variance@ class for distributions. . * The constructor @S.Distribution.normalDistr@ now takes standard deviation instead of variance as its parameter. . * A bug in @S.Quantile.weightedAvg@ is fixed. It produced a wrong answer if a sample contained only one element. . * Bugs in quantile estimations for chi-square and gamma distribution are fixed. . * Integer overlow in @mannWhitneyUCriticalValue@ is fixed. It produced incorrect critical values for moderately large samples. Something around 20 for 32-bit machines and 40 for 64-bit ones. . * A bug in @mannWhitneyUSignificant@ is fixed. If either sample was larger than 20, it produced a completely incorrect answer. . * One- and two-tailed tests in @S.Tests.NonParametric@ are selected with sum types instead of @Bool@. . * Test results returned as enumeration instead of @Bool@. . * Performance improvements for Mann-Whitney U and Wilcoxon tests. . * Module @S.Tests.NonParamtric@ is split into @S.Tests.MannWhitneyU@ and @S.Tests.WilcoxonT@ . * @sortBy@ is added to @S.Function@. . * Mean and variance for gamma distribution are fixed. . * Much faster cumulative probablity functions for Poisson and hypergeometric distributions. . * Better density functions for gamma and Poisson distributions. . * Student-T, Fisher-Snedecor F-distributions and Cauchy-Lorentz distrbution are added. . * The function @S.Function.create@ is removed. Use @generateM@ from the @vector@ package instead. . * Function to perform approximate comparion of doubles is added to @S.Function.Comparison@ . * Regularized incomplete beta function and its inverse are added to @S.Function@. license: BSD3 license-file: LICENSE homepage: https://github.com/bos/statistics bug-reports: https://github.com/bos/statistics/issues author: Bryan O'Sullivan maintainer: Bryan O'Sullivan copyright: 2009, 2010, 2011 Bryan O'Sullivan category: Math, Statistics build-type: Simple cabal-version: >= 1.8 extra-source-files: README.markdown examples/kde/KDE.hs examples/kde/data/faithful.csv examples/kde/kde.html examples/kde/kde.tpl library exposed-modules: Statistics.Autocorrelation Statistics.Constants Statistics.Distribution Statistics.Distribution.Binomial Statistics.Distribution.CauchyLorentz Statistics.Distribution.ChiSquared Statistics.Distribution.Exponential Statistics.Distribution.FDistribution Statistics.Distribution.Gamma Statistics.Distribution.Geometric Statistics.Distribution.Hypergeometric Statistics.Distribution.Normal Statistics.Distribution.Poisson Statistics.Distribution.StudentT Statistics.Distribution.Uniform Statistics.Function Statistics.Math Statistics.Math.RootFinding Statistics.Quantile Statistics.Resampling Statistics.Resampling.Bootstrap Statistics.Sample Statistics.Sample.Histogram Statistics.Sample.KernelDensity Statistics.Sample.KernelDensity.Simple Statistics.Sample.Powers Statistics.Test.NonParametric Statistics.Test.Types Statistics.Test.MannWhitneyU Statistics.Test.WilcoxonT Statistics.Transform Statistics.Types other-modules: Statistics.Distribution.Poisson.Internal Statistics.Function.Comparison Statistics.Internal Statistics.Test.Internal build-depends: base < 5, deepseq >= 1.1.0.2 && < 1.4, erf, monad-par >= 0.1.0.1, mwc-random >= 0.8.0.5, primitive >= 0.3, vector >= 0.7.1, vector-algorithms >= 0.4 if impl(ghc >= 6.10) build-depends: base >= 4 -- gather extensive profiling data for now ghc-prof-options: -auto-all ghc-options: -O2 -Wall -funbox-strict-fields if impl(ghc >= 6.8) ghc-options: -fwarn-tabs test-suite tests type: exitcode-stdio-1.0 hs-source-dirs: tests main-is: tests.hs ghc-options: -Wall -threaded -rtsopts build-depends: base, ieee754 >= 0.7.3, HUnit, QuickCheck >= 2, test-framework, test-framework-quickcheck2, test-framework-hunit, statistics, primitive, vector, vector-algorithms, erf source-repository head type: git location: https://github.com/bos/statistics source-repository head type: mercurial location: https://bitbucket.org/bos/statistics