Ryan Safner - Replicating Stata's 'Robust' Option for OLS Standard Errors in R
Dealing with heteroskedasticity; regression with robust standard errors using R
Robust and clustered standard errors with R | Program Evaluation
Available methods • broom
Enhancement: easy way to select rows from a tidy data frame · Issue #525 · tidymodels/broom · GitHub
stargazer - Exporting output of custom multiple regressions from R to Latex - Stack Overflow
Correct for heteroskedasticity in OLS with sandwich package in R – R Functions and Packages for Political Science Analysis
Compatibility with stargazer or xtable · Issue #12 · tidymodels/broom · GitHub
Slides from my talk on the broom package – Variance Explained
HAC (Newey-West) standard errors · Issue #272 · DeclareDesign/estimatr · GitHub
Robust and clustered standard errors with R | Program Evaluation
regression - R: Confused about robust standard errors using “felm” and “huxreg” - Cross Validated
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Regression table with clustered standard errors in R jupyter notebook? - Stack Overflow
sandwich: Robust Covariance Matrix Estimators • sandwich
Ryan Safner - Replicating Stata's 'Robust' Option for OLS Standard Errors in R
Slides from my talk on the broom package – Variance Explained
ご注文は学習済モデルの確認ですか？BROOM【tidymodels, broom】 - Qiita
Robust and clustered standard errors with R | Program Evaluation
Package 'broom'
RPubs - Doing More with Regression Output in R
Non-Constant Variance
reghdfe and R: The Joys of Standard Error Correction | R-bloggers
Module 5: Regression analysis and data visualization
broom presentation
regression analysis – R Functions and Packages for Political Science Analysis
Group-By Modeling in R Made Easy | r4stats.com
