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0.2.4 (2019-12-23)

New Features

  • Allow creating copula classes directly - Issue #117 by @csala

General Improvements

  • Remove select_copula from Bivariate - Issue #118 by @csala

  • Rename TruncNorm to TruncGaussian and make it non standard - Issue #102 by @csala @JDTheRipperPC

Bugs fixed

  • Error on Frank and Gumble sampling - Issue #112 by @csala

0.2.3 (2019-09-17)

New Features

  • Add support to Python 3.7 - Issue #53 by @JDTheRipperPC

General Improvements

  • Document RELEASE workflow - Issue #105 by @JDTheRipperPC

  • Improve serialization of univariate distributions - Issue #99 by @ManuelAlvarezC and @JDTheRipperPC

Bugs fixed

  • The method 'select_copula' of Bivariate return wrong CopulaType - Issue #101 by @JDTheRipperPC

0.2.2 (2019-07-31)

New Features

  • truncnorm distribution and a generic wrapper for scipy.rv_continous distributions - Issue #27 by @amontanez, @csala and @ManuelAlvarezC
  • Independence bivariate copulas - Issue #46 by @aliciasun, @csala and @ManuelAlvarezC
  • Option to select seed on random number generator - Issue #63 by @echo66 and @ManuelAlvarezC
  • Option on Vine copulas to select number of rows to sample - Issue #77 by @ManuelAlvarezC
  • Make copulas accept both scalars and arrays as arguments - Issues #85 and #90 by @ManuelAlvarezC

General Improvements

  • Ability to properly handle constant data - Issues #57 and #82 by @csala and @ManuelAlvarezC
  • Tests for analytics properties of copulas - Issue #61 by @ManuelAlvarezC
  • Improved documentation - Issue #96 by @ManuelAlvarezC

Bugs fixed

  • Fix bug on Vine copulas, that made it crash during the bivariate copula selection - Issue #64 by @echo66 and @ManuelAlvarezC

0.2.1 - Vine serialization

  • Add serialization to Vine copulas.
  • Add distribution as argument for the Gaussian Copula.
  • Improve Bivariate Copulas code structure to remove code duplication.
  • Fix bug in Vine Copulas sampling: 'Edge' object has no attribute 'index'
  • Improve code documentation.
  • Improve code style and linting tools configuration.

0.2.0 - Unified API

  • New API for stats methods.
  • Standarize input and output to numpy.ndarray.
  • Increase unittest coverage to 90%.
  • Add methods to load/save copulas.
  • Improve Gaussian copula sampling accuracy.

0.1.1 - Minor Improvements

  • Different Copula types separated in subclasses
  • Extensive Unit Testing
  • More pythonic names in the public API.
  • Stop using third party elements that will be deprected soon.
  • Add methods to sample new data on bivariate copulas.
  • New KDE Univariate copula
  • Improved examples with additional demo data.

0.1.0 - First Release

  • First release on PyPI.