stargazer - Exporting output of custom multiple regressions from R to Latex - Stack Overflow
Group-By Modeling in R Made Easy | r4stats.com
HAC (Newey-West) standard errors · Issue #272 · DeclareDesign/estimatr · GitHub
Dealing with heteroskedasticity; regression with robust standard errors using R
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
Non-Constant Variance
Slides from my talk on the broom package – Variance Explained
regression analysis – R Functions and Packages for Political Science Analysis
Regression table with clustered standard errors in R jupyter notebook? - Stack Overflow
Slides from my talk on the broom package – Variance Explained
Slides from my talk on the broom package | R-bloggers
Dealing with heteroskedasticity; regression with robust standard errors using R
Correct for heteroskedasticity in OLS with sandwich package in R – R Functions and Packages for Political Science Analysis
sandwich: Robust Covariance Matrix Estimators • sandwich
broom presentation
RPubs - Doing More with Regression Output in R
Slides from my talk on the broom package – Variance Explained
Robust and clustered standard errors with R | Program Evaluation
Package 'broom'
Ryan Safner - Replicating Stata's 'Robust' Option for OLS Standard Errors in R
Principles of Econometrics with R
