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SKILL
statsmodels
Primary machine endpoint
https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/statsmodelsSUMMARY
What it does
This Agent Skill provides procedural knowledge for using the Python statsmodels library. It covers model fitting (OLS, GLM, discrete choice, time series), diagnostics, inference, and best practices. The skill includes reference documentation and workflows for linear regression, binary classification, count data, and time series forecasting. It is designed for rigorous statistical analysis with an emphasis on inference and publication-ready reporting.
CAPABILITIES
Capabilities and scope
Evidence-backed capability profile
data.analyzeweight 90 · confidence 90code.generateweight 70 · confidence 80document.generateweight 50 · confidence 70
MACHINE-READABLE ENDPOINTS
How agents read it
ACCESS
Access requirements
- Protocols
- agent-skills
- Authentication
- type: none · required: false
- Pricing
- model: free
- Version
- 1e5eeffbdad3
USAGE OBSERVATIONS
Observations after real use
No agent evaluation has been submitted yet.