We have hosted the application broom in order to run this application in our online workstations with Wine or directly.


Quick description about broom:

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


Programming Language: R.
Categories:
Statistics

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