0.6.3

feat(stats): improve chisquare test with p-value and small bin merging (#119)

feat(stats): improve chisquare test with p-value and small bin merging

• Added merge_small_bins utility with tests
• Updated chisquare method to calculate p-value and merge small bins for more reliable results
• Refactored method signature and simplified error handling
• Integrated chisquare call into all fit_model methods
• Added documentation for utils module and updated changelog and PR template

ref: #110

0.6.2

Docs

• add complete documentation for all modules.

Dev

• refactor all modules.
• fix pre-commit hooks.

0.6.1

refactor: restructure project layout and improve documentation (#107)

refactor: restructure project layout and improve documentation

• migrate to pyproject.toml and remove conda-based setup
• move package source to src/ and update CI workflows
• switch documentation format from reStructuredText to Markdown
• add and update docstrings using Google style, with examples
• integrate MkDocs with new workflow and improve README
• remove outdated files (e.g. ReadTheDocs config, old notebooks)

ref: #106

0.6.0

restructure the distrubutions module (#91)

0.6.0 (2024-08-18)

dev

• Add documentations for the distributions, and eva modules.
• Add autodoc for all modules.
• Test docstrings as part of CI and pre-commit hooks.
• Test notebooks as part of CI.
• Simplify test for the distributions module

distributions

• move the cdf and parameters for all the methods to be optional parameters.
• rename theoretical_estimate method to inverse_cdf.
• All distributions can be instantiated with the parameters and/or data.
• rename the probability_plot method to plot.
• move the confidence_interval plot from the probability_plot/plot to the method confidence_interval and can be
  called by activating the plot_figure=True.

descriptors

• rename the metrics module to descriptors.

0.5.0

Merge pull request #24 from Serapieum-of-alex/factory-design-pattern

Factory design pattern

• 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

Merge pull request #30 from Serapieum-of-alex/more-distributions

more distributions

0.3.0

• add documentation 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 a separate plot and confidence_interval modules.

0.2.0

• add eva (Extreme value analysis) module
• fix bug in obtaining distribution parameters using optimization method

0.1.8

• bump up versions

0.1.7

What's Changed

• Numpy versions by @MAfarrag in #5

New Contributors

• @MAfarrag made their first contribution in #5

Full Changelog: 0.1.6...0.1.7