v0.2.4 - 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

v0.2.3 - 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

v0.2.2 - 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

v0.2.1

• 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.

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.

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.

First Release

First release to PyPi