StatsModels is a Python library that provides classes and functions for the estimation of many statistical models, as well as for conducting statistical tests and data exploration. It is widely used for regression analysis, time series analysis, hypothesis testing, and statistical modeling in Python.

Features of StatsModels:

• Supports linear regression, generalized linear models (GLM), and robust regression.
• Provides tools for time series analysis including AR, ARIMA, and state space models.
• Includes hypothesis testing tools like t-tests, ANOVA, chi-square tests, and non-parametric tests.
• Facilitates multivariate analysis such as PCA, factor analysis, and MANOVA.
• Offers diagnostic and model evaluation tools including residual analysis and AIC/BIC metrics.
• Integrates seamlessly with Pandas and NumPy for data handling.
• Actively maintained and compatible with modern Python versions.

To check the installed version of StatsModels, run this command in your environment:

$ python3 -m pip show statsmodels

Disclaimer: StatsModels is released under the BSD License and maintained by an open-source community of contributors. Users are responsible for correct installation and usage in their specific applications. Always refer to the official documentation for the most accurate and up-to-date information.