History

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.