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Release 0.5.5 #436

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merged 2 commits into from
Sep 4, 2024
Merged

Release 0.5.5 #436

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1be61a8
Update changelog and version number
raphaelvallat Sep 3, 2024
ab57491
Improve speed of multivariate_normality (#437)
raphaelvallat Sep 3, 2024
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10 changes: 9 additions & 1 deletion docs/changelog.rst
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Expand Up @@ -3,10 +3,18 @@
What's new
##########

v0.5.5 (September 2024)
-----------------------

This is a minor release with several bugfixes, and major updates to the internal structure and sphinx documentation.

See the full `changelog for 0.5.5 <https://github.com/raphaelvallat/pingouin/releases/tag/v0.5.5>`_.


v0.5.4 (January 2024)
---------------------

This is a minor release with several bugfixes and no new features. The new version is tested for Python 3.8-3.11 (but should also work with Python 3.12). See `GitHub <https://github.com/raphaelvallat/pingouin/releases>`_ for the full changelog.
This is a minor release with several bugfixes and no new features. The new version is tested for Python 3.8-3.11 (but should also work with Python 3.12). See the full `changelog for 0.5.4 <https://github.com/raphaelvallat/pingouin/releases/tag/v0.5.4>`_.

This release requires pandas≥1.5. We recommend scipy≥1.11.0.

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2 changes: 1 addition & 1 deletion src/pingouin/__init__.py
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Expand Up @@ -20,7 +20,7 @@
from .config import *

# Current version
__version__ = "0.5.4"
__version__ = "0.5.5"

# load default options
set_default_options()
3 changes: 2 additions & 1 deletion src/pingouin/multivariate.py
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Expand Up @@ -78,7 +78,8 @@ def multivariate_normality(X, alpha=0.05):
# Squared-Mahalanobis distances
Dj = np.diag(np.linalg.multi_dot([difT, S_inv, difT.T]))
Y = np.linalg.multi_dot([X, S_inv, X.T])
Djk = -2 * Y.T + np.repeat(np.diag(Y.T), n).reshape(n, -1) + np.tile(np.diag(Y.T), (n, 1))
Y_diag = np.diag(Y)
Djk = -2 * Y.T + Y_diag + Y_diag[..., None]

# Smoothing parameter
b = 1 / (np.sqrt(2)) * ((2 * p + 1) / 4) ** (1 / (p + 4)) * (n ** (1 / (p + 4)))
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