glm

This document provides comprehensive guidance on generalized linear models in statsmodels, including families, link functions, and applications.

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Install (Claude Code)

mkdir -p .claude/skills/glm && curl -fsSL https://doutorai.pt/data/lib/skills__glm.md -o .claude/skills/glm/SKILL.md

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Content

# Generalized Linear Models (GLM) Reference

This document provides comprehensive guidance on generalized linear models in statsmodels, including families, link functions, and applications.

## Overview

GLMs extend linear regression to non-normal response distributions through:
1. **Distribution family**: Specifies the conditional distribution of the response
2. **Link function**: Transforms the linear predictor to the scale of the mean
3. **Variance function**: Relates variance to the mean

**General form**: g(μ) = Xβ, where g is the link function and μ = E(Y|X)

## When to Use GLM

- **Bina

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