Slides from my talk on the broom package – Variance Explained
broom presentation
Principles of Econometrics with R
Regression table with clustered standard errors in R jupyter notebook? - Stack Overflow
Robust and clustered standard errors with R | Program Evaluation
Enhancement: easy way to select rows from a tidy data frame · Issue #525 · tidymodels/broom · GitHub
Available methods • broom
Dealing with heteroskedasticity; regression with robust standard errors using R
Ryan Safner - Replicating Stata's 'Robust' Option for OLS Standard Errors in R
sandwich: Robust Covariance Matrix Estimators • sandwich
Diagnostics and Remedial Measures
Robust and clustered standard errors with R | Program Evaluation
ご注文は学習済モデルの確認ですか？BROOM【tidymodels, broom】 - Qiita
Package 'broom'
Group-By Modeling in R Made Easy | r4stats.com
Robust and clustered standard errors with R | Program Evaluation
Slides from my talk on the broom package – Variance Explained
reghdfe and R: The Joys of Standard Error Correction | R-bloggers
Slides from my talk on the broom package | R-bloggers
RPubs - Doing More with Regression Output in R
modelsummary package - RDocumentation
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Robust and clustered standard errors with R | Program Evaluation
Principles of Econometrics with R
Plot regression models — plot_model • sjPlot
Non-Constant Variance
