Individual skill
statsmodels
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.
plugins/KalarisLabs/research-agent-skills/skills/statsmodels/SKILL.md
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- Apache-2.0
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SKILL.mdcore · 12,294 bytesSKILL.mdcore · 12,294 bytesSKILL.mdcore · 12,294 bytesreferences/discrete_choice.mddoc · 17,204 bytesreferences/glm.mddoc · 16,606 bytesreferences/linear_models.mddoc · 12,966 bytesreferences/model_selection.mddoc · 2,475 bytesreferences/modeling_capabilities.mddoc · 5,925 bytesreferences/quick_start_guide.mddoc · 3,680 bytesreferences/stats_diagnostics.mddoc · 22,208 bytesreferences/time_series.mddoc · 19,183 bytes
Read excerpt
# Statsmodels: Statistical Modeling and Econometrics
## Overview
Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods. Apply this skill for rigorous statistical analysis, from simple linear regression to complex time series models and econometric analyses.
## Current Compatibility
Examples target statsmodels 0.14.6, released Dec 5, 2025. For reproducible environments, pin the primary package:
```bash
uv pip install statsmodels==0.14.6
```
