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feat(distributions): add lognakagami, loggamma, and kl_statistic

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Implement two new scipy-compatible distributions : Log-Nakagami
(lognakagami) and Log-Gamma (loggamma_dist), with complete
logpdf/cdf/ppf/stats/entropy/rvs methods derived from the
change-of-variable Y = ln(X).

Add kl_statistic, a KDE-based KL-divergence goodness-of-fit callable
compatible with the Fitter class. Extend k_gen with _stats (improving speed), _cdf, and
a fit guard, and switch kv → kve to improve numerical stability at large arguments.

Add unit tests for all three additions covering normalization,
monotonicity, ppf inversion, moment formulas, and Fitter integration.
This commit is contained in:
neutonsevero
2026-04-26 23:17:22 -03:00
parent d07590e73d
commit 9a3f5959cd
5 changed files with 600 additions and 7 deletions
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@@ -35,3 +35,4 @@ data/*
etc/tools/read_raw_data.py
scripts/separate_data.py