statistics: A library of statistical types, data, and functions
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 0.10.4.0
Support for versions of GHC older than 7.2 is discontinued.
All datatypes now support
Changes in 0.10.3.0
Changes in 0.10.2.0
Bugs in DCT and IDCT are fixed.
Accesors for uniform distribution are added.
ContGeninstances 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.
ContGeninstance for normal distribution is fixed.
Changes in 0.10.1.0
Kolmogorov-Smirnov nonparametric test added.
Pearson's chi squared test added.
Type class for generating random variates for given distribution is added.
Statistics.Constantsare moved to the
math-functionspackage. They are still available but marked as deprecated.
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