statsmodels
Statsmodels is a Python module designed for estimating a variety of statistical models, performing hypothesis tests, and exploring data. It facilitates model specification through R-style formulas and pandas DataFrames, while ensuring accuracy through comparisons with established statistical packages. The module is open-source and provides extensive result statistics for each estimator.
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Top statsmodels Features
- Statistical model estimation
- Hypothesis testing capabilities
- Extensive result statistics
- R-style formula support
- Integration with pandas DataFrames
- Support for numpy arrays
- Open-source BSD license
- Results validation against packages
- Comprehensive online documentation
- User-friendly installation via Anaconda
- Compatibility with multiple statistical models
- Extensive exploratory data analysis tools
- Detailed method documentation
- Ability to customize models
- Visualization of statistical results
- Efficient handling of missing data
- Support for time series analysis
- Automated statistical tests
- Built-in diagnostic tools
- Easy integration with Python ecosystem
Top statsmodels Alternatives
- NetworkX
- Material Design Lite
- GDAL
- daisyUI
- ggplot2
- Bit
- NG-ZORRO
- gevent
- Ant Design
- Mako
- pygame
- h5py
- Seaborn
- Mantine
- luminoth
