Slides from my talk on the broom package – Variance Explained
Regression table with clustered standard errors in R jupyter notebook? - Stack Overflow
Correct for heteroskedasticity in OLS with sandwich package in R – R Functions and Packages for Political Science Analysis
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
ご注文は学習済モデルの確認ですか？BROOM【tidymodels, broom】 - Qiita
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Slides from my talk on the broom package – Variance Explained
Ryan Safner - Replicating Stata's 'Robust' Option for OLS Standard Errors in R
stargazer - Exporting output of custom multiple regressions from R to Latex - Stack Overflow
Dealing with heteroskedasticity; regression with robust standard errors using R
regression analysis – R Functions and Packages for Political Science Analysis
Available methods • broom
Module 5: Regression analysis and data visualization
reghdfe and R: The Joys of Standard Error Correction | R-bloggers
Robust and clustered standard errors with R | Program Evaluation
Plot regression models — plot_model • sjPlot
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Slides from my talk on the broom package | R-bloggers
Slides from my talk on the broom package – Variance Explained
broom presentation
Group-By Modeling in R Made Easy | r4stats.com
Robust and clustered standard errors with R | Program Evaluation
sandwich: Robust Covariance Matrix Estimators • sandwich
Diagnostics and Remedial Measures
