# statistics / statistics.cabal

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264``` ```name: statistics version: 0.10.3.1 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 0.10.3.0 . * Bug fixes . Changes in 0.10.2.0 . * Bugs in DCT and IDCT are fixed. . * Accesors for uniform distribution are added. . * 'ContGen' instances for all continous distribtuions are added. . * Beta distribution is added. . * Constructor for improper gamma distribtuion is added. . * Binomial distribution allows zero trials. . * Poisson distribution now accept zero parameter. . * Integer overflow in caculation of Wilcoxon-T test is fixed. . * Bug in 'ContGen' instance for normal distribution is fixed. . Changes in 0.10.1.0 . * Kolmogorov-Smirnov nonparametric test added. . * Pearson's chi squared test added. . * Type class for generating random variates for given distribution is added. . * Modules 'Statistics.Math' and 'Statistics.Constants' are moved to the @math-functions@ package. They are still available but marked as deprecated. . Changed in 0.10.0.1 . * @dct@ and @idct@ now have type @Vector Double -> Vector Double@ . 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: ChangeLog README.markdown benchmark/bench.hs examples/kde/KDE.hs examples/kde/data/faithful.csv examples/kde/kde.html examples/kde/kde.tpl tests/Tests/Math/gen.py tests/Tests/Math/Tables.hs tests/utils/Makefile tests/utils/fftw.c library exposed-modules: Statistics.Autocorrelation Statistics.Constants Statistics.Distribution Statistics.Distribution.Beta 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.Transform 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.ChiSquared Statistics.Test.KolmogorovSmirnov Statistics.Test.MannWhitneyU Statistics.Test.WilcoxonT Statistics.Test.Types 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 >= 0.3.4, mwc-random >= 0.11.0.0, math-functions >= 0.1.2, 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 other-modules: Tests.Distribution Tests.Helpers Tests.Function Tests.NonparametricTest Tests.NonparametricTest.Table Tests.Transform Tests.KDE ghc-options: -Wall -threaded -rtsopts build-depends: base, ieee754 >= 0.7.3, HUnit, QuickCheck >= 2, test-framework, test-framework-quickcheck2, test-framework-hunit, math-functions, mwc-random, 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 ```
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