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statistics-skinny
Release 0.16.2.0

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 regression and autocorrelation analysis. Random variate generation under several different distributions. Common statistical tests for significant differences between samples.

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Keywords: library, math, statistics, Propose Tags , Statistics.Autocorrelation, Statistics.ConfidenceInt, Statistics.Correlation, Statistics.Correlation.Kendall, Statistics.Distribution, Statistics.Distribution.Beta, Statistics.Distribution.Binomial, Statistics.Distribution.CauchyLorentz, Statistics.Distribution.ChiSquared, Statistics.Distribution.DiscreteUniform, Statistics.Distribution.Exponential, Statistics.Distribution.FDistribution, Statistics.Distribution.Gamma, Statistics.Distribution.Geometric, Statistics.Distribution.Hypergeometric, Statistics.Distribution.Laplace, Statistics.Distribution.Normal, Statistics.Distribution.Poisson, Statistics.Distribution.StudentT, Statistics.Distribution.Transform, Statistics.Distribution.Uniform, Statistics.Function, Statistics.Quantile, Statistics.Regression, Statistics.Resampling, Statistics.Resampling.Bootstrap, Statistics.Sample, Statistics.Sample.Histogram, Statistics.Sample.Internal, Statistics.Sample.KernelDensity, Statistics.Sample.KernelDensity.Simple, Statistics.Sample.Normalize, Statistics.Sample.Powers, Statistics.Test.ChiSquared, Statistics.Test.KolmogorovSmirnov, Statistics.Test.KruskalWallis, Statistics.Test.MannWhitneyU, Statistics.Test.StudentT, Statistics.Test.Types, Statistics.Test.WilcoxonT, Statistics.Transform, Statistics.Types, github issue tracker, git mirror, bos@serpentine.com
License: BSD-2-Clause
Install: cabal install statistics-skinny

Documentation

Statistics: efficient, general purpose statistics

This package provides the Statistics module, a Haskell library for working with statistical data in a space- and time-efficient way.

Where possible, we give citations and computational complexity estimates for the algorithms used.

Performance

This library has been carefully optimised for high performance. To obtain the best runtime efficiency, it is imperative to compile libraries and applications that use this library using a high level of optimisation.