How to Install and Uninstall python3-pingouin.noarch Package on Fedora 39
Last updated: January 15,2025
1. Install "python3-pingouin.noarch" package
Please follow the step by step instructions below to install python3-pingouin.noarch on Fedora 39
$
sudo dnf update
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$
sudo dnf install
python3-pingouin.noarch
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2. Uninstall "python3-pingouin.noarch" package
Learn how to uninstall python3-pingouin.noarch on Fedora 39:
$
sudo dnf remove
python3-pingouin.noarch
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$
sudo dnf autoremove
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3. Information about the python3-pingouin.noarch package on Fedora 39
Last metadata expiration check: 1:29:00 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : python3-pingouin
Version : 0.5.4
Release : 1.fc39
Architecture : noarch
Size : 314 k
Source : python-pingouin-0.5.4-1.fc39.src.rpm
Repository : updates
Summary : Statistical package in Python based on Pandas
URL : https://pingouin-stats.org/
License : GPL-3.0-only
Description : Pingouin is an open-source statistical package written in Python 3 and based
: mostly on Pandas and NumPy. Some of its main features are listed below. For a
: full list of available functions, please refer to the API documentation.
:
: 1. ANOVAs: N-ways, repeated measures, mixed, ancova
: 2. Pairwise post-hocs tests (parametric and non-parametric) and pairwise
: correlations
: 3. Robust, partial, distance and repeated measures correlations
: 4. Linear/logistic regression and mediation analysis
: 5. Bayes Factors
: 6. Multivariate tests
: 7. Reliability and consistency
: 8. Effect sizes and power analysis
: 9. Parametric/bootstrapped confidence intervals around an effect size or a
: correlation coefficient
: 10. Circular statistics
: 11. Chi-squared tests
: 12. Plotting: Bland-Altman plot, Q-Q plot, paired plot, robust correlation…
:
: Pingouin is designed for users who want simple yet exhaustive statistical
: functions.
:
: For example, the ttest_ind function of SciPy returns only the T-value and the
: p-value. By contrast, the ttest function of Pingouin returns the T-value, the
: p-value, the degrees of freedom, the effect size (Cohen’s d), the 95%
: confidence intervals of the difference in means, the statistical power and the
: Bayes Factor (BF10) of the test.
Available Packages
Name : python3-pingouin
Version : 0.5.4
Release : 1.fc39
Architecture : noarch
Size : 314 k
Source : python-pingouin-0.5.4-1.fc39.src.rpm
Repository : updates
Summary : Statistical package in Python based on Pandas
URL : https://pingouin-stats.org/
License : GPL-3.0-only
Description : Pingouin is an open-source statistical package written in Python 3 and based
: mostly on Pandas and NumPy. Some of its main features are listed below. For a
: full list of available functions, please refer to the API documentation.
:
: 1. ANOVAs: N-ways, repeated measures, mixed, ancova
: 2. Pairwise post-hocs tests (parametric and non-parametric) and pairwise
: correlations
: 3. Robust, partial, distance and repeated measures correlations
: 4. Linear/logistic regression and mediation analysis
: 5. Bayes Factors
: 6. Multivariate tests
: 7. Reliability and consistency
: 8. Effect sizes and power analysis
: 9. Parametric/bootstrapped confidence intervals around an effect size or a
: correlation coefficient
: 10. Circular statistics
: 11. Chi-squared tests
: 12. Plotting: Bland-Altman plot, Q-Q plot, paired plot, robust correlation…
:
: Pingouin is designed for users who want simple yet exhaustive statistical
: functions.
:
: For example, the ttest_ind function of SciPy returns only the T-value and the
: p-value. By contrast, the ttest function of Pingouin returns the T-value, the
: p-value, the degrees of freedom, the effect size (Cohen’s d), the 95%
: confidence intervals of the difference in means, the statistical power and the
: Bayes Factor (BF10) of the test.