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diff --git a/dev-haskell/statistics/metadata.xml b/dev-haskell/statistics/metadata.xml new file mode 100644 index 000000000000..1a9198b13f33 --- /dev/null +++ b/dev-haskell/statistics/metadata.xml @@ -0,0 +1,102 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> +<pkgmetadata> + <herd>haskell</herd> + <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> |