Cabal revisions of statistics-0.10.0.0
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-name: statistics-version: 0.10.0.0-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 <bos@serpentine.com>-maintainer: Bryan O'Sullivan <bos@serpentine.com>-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,- 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+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 <bos@serpentine.com> +maintainer: Bryan O'Sullivan <bos@serpentine.com> +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