I'm pleased to announce a major release of of the Haskell statistics library, version 0.10.0.0.

I'd particularly like to thank Alexey Khudyakov for his wonderful work on this release.

New features:

Root finding is added, in Math.RootFinding .

Forward and inverse discrete Fourier and cosine transforms are added, in Transform .

Histogram computation is added, in Sample.Histogram .

Student-T, Fisher-Snedecor, F-distribution, and Cauchy-Lorentz distributions are added.

Major changes:

The type classes Mean and Variance are split in two. This is required for distributions which do not have finite variance or mean.

The 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 Sample.KernelDensity.Simple ).

Smaller changes:

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 Distribution.normalDistr now takes standard deviation instead of variance as its parameter.

A bug in 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 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 Tests.NonParamtric is split into Tests.MannWhitneyU and Tests.WilcoxonT

sortBy is added to 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.

The function Function.create is removed. Use generateM from the vector package instead.

A function to perform approximate comparion of doubles is added to Function.Comparison .