pingouin
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Statistical package in Python based on Pandas
Hi, ### 1. Intro As mentioned in discussion #296, it would be convenient to have support for both proportion and mean z tests within pingouin. statsmodels already provides several methods...
First, I would like to thank for this exceptional library. I wanted to use the R cld function on the output of the pg.pairwise comparisons ttest and gameshowell and I...
[pingouin.compute_bootci](https://pingouin-stats.org/generated/pingouin.compute_bootci.html) could leverage the newly-added [scipy.stats.bootstrap](https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.bootstrap.html) function (SciPy 1.7.0+) to calculate the bootstrapped confidence intervals. **Pros** - SciPy implements the bias corrected and accelerated percentile method ("BCa"), which is also...
The following **issues** should be addressed: - [x] #308 ❗ - [x] #444 - [ ] #153 - [ ] #253 - [ ] #208 - [ ] #225 -...
As discussed in https://github.com/raphaelvallat/pingouin/pull/290, this PR adds the `ptests` (pairwise_ttest) method to pandas.DataFrame to calculate pairwise T-tests between columns of a pandas DataFrame. This can be used as an alternative...
Data set: [HealthExam.csv](https://github.com/raphaelvallat/pingouin/files/8944899/HealthExam.csv) Code: ``` import numpy as np import pandas as pd import statsmodels.api as sm import pingouin as pg import seaborn as sns import matplotlib.pyplot as plt sns.set_theme()...
#225 Implemented CI from 'Calculating confidence intervals for some non-parametric analyses', Campbell and Gardner 1988. CI Style is adapted from ttest. The same publication offers a solution for wilcoxon, which...
See https://github.com/scikit-learn/scikit-learn/issues/23605 This leads to unit tests failure in Pingouin. The easiest fix is to downgrade scikit-learn to version 1.0: ```shell pip install scikit-learn==1.0 ```
[lazy_loader](https://pypi.org/project/lazy_loader/) [pingouin](https://pypi.org/project/pingouin/)  `lazy_loader`>=3.8 Reason: `lazy_loader` not supported 3.7