tidymodels/broom

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1525 stars · 301 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

broom is an R package that converts statistical model objects from 100+ modeling packages into tidy tibbles. It provides three verbs—tidy(), glance(), and augment()—to summarize model components, whole-model fit statistics, and observation-level information.

Use cases

• extract regression coefficients as a tidy data frame
• compare goodness-of-fit statistics across many models
• turn model output into tibbles for ggplot2 visualization
• tidy statistical model results for further dplyr manipulation
• augment a dataset with fitted values and residuals
• summarize lm, glm, and other stats package model objects

When to choose

• you work in R with statistical models and want tidy, consistent output
• you need to combine or visualize results from many different model types
• you use the tidymodels or tidyverse ecosystem

When to avoid

• you need model tidiers for mixed models beyond what broom.mixed provides
• you work outside R or need non-tidy data structures

Facets

library · maturity active

data-science serialization data-visualization data-science machine-learning tidy-data r-package statistical-modeling tidymodels tibble model-summarization statistics data-engineering r

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tidymodels/broom")