v0.5.3

Fixed broadcasting in lmo.l_ratio

Full Changelog: v0.5.2...v0.5.3

v0.5.2

• lmo.diagnostic.normaltest: robust test for normality (#7)
• lmo.stats.l_moment_from_ppf: (experimental) calculation of population (theoretical) L-moments from a quantile function (#5 )

Full Changelog: v0.5.1...v0.5.2

v0.5.1

• Non-parametric exact (T)L-moment covariance matrix: [lmo.l_moment_cov](https://jorenham.github.io/lmo/reference/#lmo.l_moment_cov) #4
• Non-paramteric exact-ish (T)L-moment ratio standard error: lmo.l_ratio_se #4
• Internal module restructuring; more methods are public now
• Improved docs

Full Changelog: v0.5.0...v0.5.1

v0.5.0

• All calculations are now fully vectorized, and around ~100x faster
• Frequency weights for the univariate L-moments.
• Most methods now have usage examples.
• More and better tests.
• A bunch of minor bugfixes.
• BREAKING: Merged the tl_{} into the l_{} methods, for the sake of "DRY".
• BREAKING: The weights parameter is now called aweights.

Full Changelog: v0.4...v0.5.0

v0.4.0

• Support for custom sample weights
• Improved documentation
• A bunch of bugfixes

Full Changelog: v0.3.1...v0.4

v0.3.1

Fixes several bugs in lmo.tl_coratio.

Full Changelog: v0.3.0...v0.3.1

v0.3.0

• BREAKING: Combined tl_* method args s and t into trim, which can be a (tuple of a) single int (symmetric trimming), or a tuple of two ints.
• Improved typing of arrays and dtypes.
• Removed the python<3.12 restriction.
• Relaxed the numpy version restriction to >=1.20.

Full Changelog: v0.2.1...v0.3.0