Changes in 0.13.0.0

• All types now support JSON encoding and decoding.

Changes in 0.12.0.0

• The Statistics.Math module has been removed, after being deprecated for several years. Use the math-functions package instead.

• The Statistics.Test.NonParametric module has been removed, after being deprecated for several years.

• Added support for Kendall’s tau.

• Added support for OLS regression.

• Added basic 2D matrix support.

• Added the Kruskal-Wallis test.

Changes in 0.11.0.3

• Fixed a subtle bug in calculation of the jackknifed unbiased variance.

• The test suite now requires QuickCheck 2.7.

• We now calculate quantiles for normal distribution in a more numerically stable way (bug #64).

Changes in 0.10.6.0

• The Estimator type has become an algebraic data type. This allows the jackknife function to potentially use more efficient jackknife implementations.

• jackknifeMean, jackknifeStdDev, jackknifeVariance, jackknifeVarianceUnb: new functions. These have O(n) cost instead of the O(n^2) cost of the standard jackknife.

• The mean function has been renamed to welfordMean; a new implementation of mean has better numerical accuracy in almost all cases.

Changes in 0.10.5.2

• histogram correctly chooses range when all elements in the sample are same (bug #57)

Changes in 0.10.5.1

• Bug fix for S.Distributions.Normal.standard introduced in 0.10.5.0 (Bug #56)

Changes in 0.10.5.0

• Enthropy type class for distributions is added.

• Probability and probability density of distribution is given in log domain too.

Changes in 0.10.4.0

• Support for versions of GHC older than 7.2 is discontinued.

• All datatypes now support ‘Data.Binary’ and ‘GHC.Generics’.

Changes in 0.10.3.0

• Bug fixes

Changes in 0.10.2.0

• Bugs in DCT and IDCT are fixed.

• Accesors for uniform distribution are added.

• ContGen instances for all continous distribtuions are added.

• Beta distribution is added.

• Constructor for improper gamma distribtuion is added.

• Binomial distribution allows zero trials.

• Poisson distribution now accept zero parameter.

• Integer overflow in caculation of Wilcoxon-T test is fixed.

• Bug in ‘ContGen’ instance for normal distribution is fixed.

Changes in 0.10.1.0

• Kolmogorov-Smirnov nonparametric test added.

• Pearson chi squared test added.

• Type class for generating random variates for given distribution is added.

• Modules ‘Statistics.Math’ and ‘Statistics.Constants’ are moved to the @math-functions@ package. They are still available but marked as deprecated.

Changed in 0.10.0.1

• @dct@ and @idct@ now have type @Vector Double -> Vector Double@

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.

• Discrete Fourie transform is 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