Chapter 27 Linear Regression and Broom for Tidying Models | Reproducible Medical Research with R
The tidycat package: expand broom::tidy() output for categorical parameter estimates
Data Visualization
Tidy a(n) lm object — tidy.lm • broom
Tidy bootstrapping with dplyr+broom
Tidy a(n) lm object — tidy.lm • broom
Tidy dataframes of model parameters using {broom} and {easystats} — tidy_parameters • broomExtra
ModernDive on Twitter: ""Hold up, isn't that just broom::tidy()?" You betcha! But we made things novice friendly by renaming everything, even the function names! Lay 👀on the get_regression_points() wrapper to broom::augment()! Make
broom - Roshan Talimi
Simple Linear Regression: Diagnostics, Inference and Prediction
Chapter 28 Logistic Regression and Broom for Tidying Models | Reproducible Medical Research with R
Mismatch between p-values and confidence intervals in tidy.glm() · Issue #1074 · tidymodels/broom · GitHub
Confidence Intervals vs Prediction Intervals – A Frequentist & Bayesian Example | Patrick Ward, PhD