android / platform / external / gentoo / overlays / gentoo / 5b84cb95073a8c276866a99d515c05a35ff23195 / . / dev-haskell / statistics / metadata.xml

<?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> |