> For the complete documentation index, see [llms.txt](https://kflagg.gitbook.io/pythonds/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://kflagg.gitbook.io/pythonds/3.-statsmodels-traditional-statistics.md).

# 3. statsmodels: Traditional Statistics

Selections From The `statsmodels` Documentation

1. Linear Regression: [Ordinary least Squares](https://www.statsmodels.org/stable/examples/notebooks/generated/ols.html)
2. Random Effects/Mixed Models: [Linear Mixed Effects Models](https://www.statsmodels.org/stable/examples/notebooks/generated/mixed_lm_example.html)
3. Count Data And Link Functions: [Generalized Linear Models](https://www.statsmodels.org/stable/examples/notebooks/generated/glm.html)
4. Simpler Model Notation: [Generalized Linear Models (Formula)](https://www.statsmodels.org/stable/examples/notebooks/generated/glm_formula.html)
5. Analysis of Variance: [Interaction and ANOVA](https://www.statsmodels.org/stable/examples/notebooks/generated/interactions_anova.html)
6. Assessing Model Assumptions: [Regression Diagnostics](https://www.statsmodels.org/stable/examples/notebooks/generated/regression_diagnostics.html)
7. Visualizing Fitted Models: [Regression Plots](https://www.statsmodels.org/stable/examples/notebooks/generated/regression_plots.html)
8. Visualizing Continuous Variables: [Box Plots](https://www.statsmodels.org/stable/examples/notebooks/generated/plots_boxplots.html)
9. Visualizing Distributions: [Kernel Density Estimation](https://www.statsmodels.org/stable/examples/notebooks/generated/kernel_density.html)