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Currently, there is only 'shapiro' and 'normaltest' method for normality test. Adding Jarque Bera method should be helpful as an alternative for testing large samples.
The text was updated successfully, but these errors were encountered:
* Flake8
* Explicit error when y is an empty list in pg.ttest
#222
* Add keyword arguments in homoscedasticity function
#218
* Bugfix rm_anova and mixed_anova changed the dtypes of categorical columns + added observed=True to all groupby
#224
* Update version number in init and setup
* Use np.isclose for test_pearson == 1
#195
* Coverage for try..except scipy fallback
* Fix set_option for pandas 1.4
* Upgraded dependencies for seaborn and statsmodels
* Added Jarque-Bera test in pg.normality
#216
* Coverage scipy import error
* Use pd.concat instead of frame.append to avoid FutureWarning
* Remove add_categories(inplace=True) to avoid FutureWarning
* GH Discussions instead of Gitter
* Minor doc fix
Currently, there is only 'shapiro' and 'normaltest' method for normality test. Adding Jarque Bera method should be helpful as an alternative for testing large samples.
The text was updated successfully, but these errors were encountered: