statsmodels
Fits and diagnoses Python statistical models including OLS, GLM, discrete and mixed models, ARIMA and SARIMAX. Supports coefficient inference, marginal effects, model comparison and time series forecasting with explicit design and uncertainty checks. Used for econometrics and statistical modeling; for guided test selection with APA reporting, see statistical-analysis.
- Version
- 1.5
- License
- BSD-3-Clause license
- Compatibility
- Requires Python 3.10+ and statsmodels 0.15.0; the tested NumPy 2.5.3/SciPy 1.18.1 stack needs Python 3.12+. Plotting needs matplotlib; predictive metrics need scikit-learn. Network access is needed only for installation or documentation; no credentials.
Pinned to revision 68105dd992f1, so it is the text this page describes rather than whatever the author pushed since.
Pre-approved tools experimental
Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.
- Read
- Write
- Edit
- Bash
Files
- skills/statsmodels/SKILL.md
- skills/statsmodels/SKILL_CN.md
- skills/statsmodels/references/discrete_choice.md
- skills/statsmodels/references/glm.md
- skills/statsmodels/references/linear_models.md
- skills/statsmodels/references/model_selection.md
- skills/statsmodels/references/modeling_capabilities.md
- skills/statsmodels/references/quick_start_guide.md
- skills/statsmodels/references/review.md
- skills/statsmodels/references/stats_diagnostics.md
- skills/statsmodels/references/time_series.md
Every link opens the file at its source, pinned to the revision this page describes.