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SKILL

statsmodels

Primary machine endpointhttps://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/statsmodels
Use with an agent

SUMMARY

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.