* Unify the all the methods for the distributions. * Use factory design pattern to create the distributions. * add tests for the eva module. * use snake_case for the methods and variables.
0.4.0
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* add Pearson 3 distribution * Use setup.py instead of pyproject.toml. * Correct pearson correlation coefficient and add documentation . * replace the pdf and cdf by the methods from scipy package.
0.3.0
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* add documentations for both GEV and gumbel distributions. * add lmoment parameter estimation method for all distributions. * add exponential and normal distributions * modify the pdf, cdf, and probability plot plots * create separate plot and confidence_interval modules.
0.2.0
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* add eva (Extreme value analysis) module * fix bug in obtaining distribution parameters using optimization method