Changelog for statistics-0.10.5.1If this renders badly as markdown, see the plain text version
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