regression-analyzer

Solid

Skill for comprehensive regression analysis and modeling

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Skill Content

# Regression Analyzer Skill ## Purpose Perform comprehensive regression analyses including model fitting, diagnostics, and interpretation for scientific data. ## Capabilities - Fit linear models - Build generalized models - Perform diagnostics - Handle multicollinearity - Generate predictions - Interpret coefficients ## Usage Guidelines 1. Prepare data 2. Specify model 3. Fit regression 4. Run diagnostics 5. Refine if needed 6. Interpret results ## Process Integration Works within scientific discovery workflows for: - Relationship modeling - Prediction generation - Effect estimation - Variable selection ## Configuration - Model specifications - Diagnostic tests - Variable selection - Output formatting ## Output Artifacts - Model summaries - Diagnostic plots - Coefficient tables - Prediction outputs

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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