| <?xml version="1.0" encoding="UTF-8"?> |
| <!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> |
| <pkgmetadata> |
| <maintainer type="project"> |
| <email>haskell@gentoo.org</email> |
| <name>Gentoo Haskell</name> |
| </maintainer> |
| <longdescription> |
| 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@. |
| </longdescription> |
| <upstream> |
| <remote-id type="github">bos/statistics</remote-id> |
| </upstream> |
| </pkgmetadata> |