Pymccorrelation

Latest version: v0.2.6

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0.2.6

Bugfix

- Fixed a typo in Kendall's tau calculation for censored data that resulted in upper limit flags not being applied when evaluating whether Yi d< Yj (see Eq 27 of Isobe+ 1986, ApJ, 306, 490l). Identified by [Bennett-Skinner](https://github.com/Bennett-Skinner).

0.2.5

Other

- `pymckendall()` is deprecated and will be removed after the 0.3.x series.
- Added a warning when `Nboot=1`. A user may provide this, intending to compute the correlation coefficient using many `Nperturb` rounds on the original dataset. However, `Nboot=1` does not use the input dataset as-is, but instead performs a single bootstrap with replacement. The warning clarifies that `Nboot=None` is the appropriate input when seeking to only use perturbation of points within the uncertainties.

0.2.4

Bugfixes

- When computing Kendall's tau with censored data and bootstrapping, the x/y limit flags were not resampled. This is fixed and the limit flags are now properly resampled.

0.2.3

Enhancements

- Check x/y limit arrays to ensure they contain sensible values.
- Update assertions on array lengths to provide more helpful debugging information.

Bugfixes

- fix description of `return_dist` behavior in doctrsing for `pymccorrelation`
- Amend changelog to fix release date for v0.2.2.
- Fix missing pass of x/y limits through `pymckendall()` wrapper

0.2.2

Bugfixes

- Pearson's r was incorrectly imported as spearman's rho. The import has been fixed.

0.2.1

- Add `setup.py` and package for pypi release.

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