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Distributions.jl Release Notes

Note: We reached a relatively stable API at version 0.5.0, and have maintained release notes since then.

Changes from v0.6 to v0.7

  • Bug fixes
  • Refactor file organization -- separate discrete and continuous distributions into different subdirectories
  • Deprecate probs in favor of pdf. Now pdf uses efficient algorithm to evaluate probability mass functions over a UnitRange.
  • Introduce macro @distr_supp, which provides a uniform way to specify the support of a distribution, no matter whether the support depends on the distribution parameters or not. (#312)
  • New samplers for Gamma distribution. (#313)
  • New testing framework for univariate distributions. (#314)
  • Add requirement of the package Compat. (#321)
  • Clean up the implementation of univariate distributions
  • Add params methods and other parameter retrieval methods, such as scale, shape, meanlogx, stdlogx, dof, etc (#326)

Changes from v0.5 to v0.6

  • Some bug fixes
  • Add CategoricalDirectSampler.
  • Add univariate von Mises distribution (#223)
  • Add Fréchet distribution (#238)
  • Add noncentral hypergeometric distribution (#255)
  • More functions for hypergeometric distribution (support, mode, kurtosis, skewness, etc) (#256)
  • More efficient algorithm to sample from truncated distributions. (#243)
  • Various updates to make it work with both Julia 0.3 and 0.4
  • Improved implementation of show. (#290)
  • A consistent testing framework for univariate distributions (#291)
  • Reimplement truncated distributions, fixing various bugs (#295)
  • Refactored type system for multivariate normal distributions, supporting zero-mean normal seamlessly and introducing common constructors. (#296)
  • Add triangular distribution (#237)
  • Reimplement von Mises distribution, fixing a few bugs (#300)
  • Reimplement von Mises-Fisher distribution, making it consistent with the common interface (#302)
  • Reimplement mixture models, improving efficiency, numerical stability, and the friendliness of the user interface. (#303)
  • Reimplement Wishart and InverseWishart distributions. They now support the use of positive definite matrices of arbitrary subtype of AbstractPDMat. (#304)
  • Add probs methods for discrete distributions (#305).