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Releases: circstat/pycircstat2

v0.1.15

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@huangziwei huangziwei released this 02 Dec 13:45
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A lot has changed, check out the PR text in the link below for details!

What's Changed

Full Changelog: v0.1.14...v0.1.15

v0.1.14

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@huangziwei huangziwei released this 30 Jul 07:39
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What's Changed

Full Changelog: v0.1.13...v0.1.14

v0.1.13

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@huangziwei huangziwei released this 29 Apr 09:17
5289403

What's Changed

  • fix: omnibus_test pval computation overflow for large n by @huangziwei in #12

Full Changelog: v0.1.12...v0.1.13

v0.1.12

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@huangziwei huangziwei released this 11 Mar 17:11

Improvement:

  • allow initialising CircHAC with CircKMeans.
  • better type hinting.

Full Changelog: v0.1.11...v0.1.12

v0.1.11

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@huangziwei huangziwei released this 21 Feb 09:36

HOT FIX: lingering MoVM in Circular.

Full Changelog: v0.1.10...v0.1.11b

v0.1.10

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@huangziwei huangziwei released this 19 Feb 13:39

NEW: Refactored clustering.py; we now support three clustering methods: MovM, CircHAC, and CircKMeans.

See the docs and the example notebook for usage.

Full Changelog: v0.1.9...v0.1.10

v0.1.9

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@huangziwei huangziwei released this 14 Feb 15:15

What's Changed

  • add: equal_median_test()
  • add: angular_randomisation_test() by @elhananby in #10
  • change: circ_dist and circ_pairdist now support various kinds of distance measurement.
  • change: renamed equal_median_test to common_median_test, circ_anova_test to circ_anova, aacorr and alcorr to circ_corrcc and circ_corrcl

New Contributors

Full Changelog: v0.1.8...v0.1.9

v0.1.8

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@huangziwei huangziwei released this 31 Jan 13:57

Added a few missing features from CircStat (MATLAB), PyCircStat, CircStats (R) and circular (R), for the sake of "feature-complete".

Full Changelog: v0.1.7...v0.1.8

v0.1.7

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@huangziwei huangziwei released this 18 Dec 16:06

Revamped pycircstat2.regression module, along with various bug fixes.

The CLRegression(model_type="mean") and CCRegression classes have been ported directly from the lm.circular.cl and lm.circular.cc functions of the R circular package. Furthermore, CLRegression introduces support for fitting the concentration parameter using CLRegression(model_type="kappa") and implementing the mixed model from Section 6.4 of Fisher (1993) with CLRegression(model_type="mixed").

See this tutorial notebook for more examples.

Full Changelog: v0.1.6...v0.1.7

v0.1.6

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@huangziwei huangziwei released this 06 Dec 14:04

Full Changelog: v0.1.5...v0.1.6