Slides from my talk on the broom package | R-bloggers
Estimating causal effects from aggregated data | R-bloggers
Slides from my talk on the broom package – Variance Explained
Robust and clustered standard errors with R | Program Evaluation
Slides from my talk on the broom package | R-bloggers
Replicating Stata's 'Robust' Option for OLS Standard Errors in R | Ryan Safner
Slides from my talk on the broom package – Variance Explained
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Dealing with heteroskedasticity; regression with robust standard errors using R
Robust and clustered standard errors with R | Program Evaluation
HAC (Newey-West) standard errors · Issue #272 · DeclareDesign/estimatr · GitHub
Principles of Econometrics with R
Compatibility with stargazer or xtable · Issue #12 · tidymodels/broom · GitHub
Robust and clustered standard errors with R | Program Evaluation
Robust and clustered standard errors with R | Program Evaluation
Group-By Modeling in R Made Easy | r4stats.com
Available methods • broom
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
Visualization of regression coefficients (in R) | R-bloggers
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Enhancement: easy way to select rows from a tidy data frame · Issue #525 · tidymodels/broom · GitHub
sandwich: Robust Covariance Matrix Estimators • sandwich
modelsummary package - RDocumentation
