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Diffstat (limited to 'dev-haskell/statistics/metadata.xml')
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diff --git a/dev-haskell/statistics/metadata.xml b/dev-haskell/statistics/metadata.xml deleted file mode 100644 index a68564979679..000000000000 --- a/dev-haskell/statistics/metadata.xml +++ /dev/null @@ -1,105 +0,0 @@ -<?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> |