broom is part of the tidymodels ecosystem that converts statistical model outputs (e.g. from lm, glm, t.test, lme4, etc.) into tidy tibbles — standardized data frames — using functions tidy(), glance(), and augment(). These are easier to manipulate, visualize, and report programmatically.
Features
- tidy() extracts summary info per model term (e.g. coefficients, SE, p-values)
- glance() returns model-level metrics (e.g. AIC, BIC, R²)
- augment() adds fitted values/residuals to original data
- Supports over 100+ model types across CRAN packages
- Enables pipeline-friendly result extraction for plotting or reporting
- Integrates with tidyverse tooling and workflows
Project Samples
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MIT LicenseFollow broom
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