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106 lines
3.6 KiB
106 lines
3.6 KiB
<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
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<pkgmetadata>
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<maintainer type="project">
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<email>haskell@gentoo.org</email>
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<name>Gentoo Haskell</name>
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</maintainer>
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<longdescription>
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This library provides a number of common functions and types useful
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in statistics. We focus on high performance, numerical robustness,
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and use of good algorithms. Where possible, we provide
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references to the statistical literature.
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The library's facilities can be divided into four broad categories:
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* Working with widely used discrete and continuous probability
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distributions. (There are dozens of exotic distributions in use;
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we focus on the most common.)
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* Computing with sample data: quantile estimation, kernel density
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estimation, histograms, bootstrap methods, significance testing,
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and autocorrelation analysis.
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* Random variate generation under several different distributions.
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* Common statistical tests for significant differences between
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samples.
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Changes in 0.10.0.0:
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* The type classes @Mean@ and @Variance@ are split in two. This is
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required for distributions which do not have finite variance or
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mean.
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* The @S.Sample.KernelDensity@ module has been renamed, and
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completely rewritten to be much more robust. The older module
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oversmoothed multi-modal data. (The older module is still
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available under the name @S.Sample.KernelDensity.Simple@).
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* Histogram computation is added, in @S.Sample.Histogram@.
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* Forward and inverse discrete Fourier and cosine transforms are
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added, in @S.Transform@.
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* Root finding is added, in @S.Math.RootFinding@.
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* The @complCumulative@ function is added to the @Distribution@
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class in order to accurately assess probalities P(X>x) which are
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used in one-tailed tests.
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* A @stdDev@ function is added to the @Variance@ class for
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distributions.
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* The constructor @S.Distribution.normalDistr@ now takes standard
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deviation instead of variance as its parameter.
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* A bug in @S.Quantile.weightedAvg@ is fixed. It produced a wrong
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answer if a sample contained only one element.
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* Bugs in quantile estimations for chi-square and gamma distribution
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are fixed.
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* Integer overlow in @mannWhitneyUCriticalValue@ is fixed. It
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produced incorrect critical values for moderately large
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samples. Something around 20 for 32-bit machines and 40 for 64-bit
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ones.
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* A bug in @mannWhitneyUSignificant@ is fixed. If either sample was
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larger than 20, it produced a completely incorrect answer.
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* One- and two-tailed tests in @S.Tests.NonParametric@ are selected
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with sum types instead of @Bool@.
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* Test results returned as enumeration instead of @Bool@.
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* Performance improvements for Mann-Whitney U and Wilcoxon tests.
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* Module @S.Tests.NonParamtric@ is split into @S.Tests.MannWhitneyU@
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and @S.Tests.WilcoxonT@
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* @sortBy@ is added to @S.Function@.
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* Mean and variance for gamma distribution are fixed.
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* Much faster cumulative probablity functions for Poisson and
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hypergeometric distributions.
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* Better density functions for gamma and Poisson distributions.
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* Student-T, Fisher-Snedecor F-distributions and Cauchy-Lorentz
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distrbution are added.
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* The function @S.Function.create@ is removed. Use @generateM@ from
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the @vector@ package instead.
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* Function to perform approximate comparion of doubles is added to
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@S.Function.Comparison@
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* Regularized incomplete beta function and its inverse are added to
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@S.Function@.
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</longdescription>
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<upstream>
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<remote-id type="github">bos/statistics</remote-id>
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</upstream>
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</pkgmetadata>
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