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 – R-Craft
tidy.survreg function fails when robust = T in survreg model · Issue #728 · tidymodels/broom · GitHub
Expand broom::tidy() output for categorical parameter estimates | R-bloggers
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
broom/lfe-tidiers.R at master · cran/broom · GitHub
Replicating Stata's 'Robust' Option for OLS Standard Errors in R | Ryan Safner
Robust and clustered standard errors with R | Program Evaluation
Enhancements for broom and easystats Package Families • broomExtra
Tidy a(n) coxph object — tidy.coxph • broom
Collection of custom tidiers — custom_tidiers • gtsummary
Is Your Standard Error Robust?. Practical Guide to Picking the Correct… | by Vivian Zheng | Towards Data Science
Regression table with clustered standard errors in R jupyter notebook? - Stack Overflow
README
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
broom: a package for tidying statistical models into data frames – Variance Explained
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Bootstrap Your Standard Errors in R, the Tidy Way | Steven V. Miller
Introduction to broom • broom
broom: a package for tidying statistical models into data frames – Variance Explained
Dealing with heteroskedasticity; regression with robust standard errors using R
Replicating Stata's 'Robust' Option for OLS Standard Errors in R | Ryan Safner
Robust and clustered standard errors with R | Program Evaluation
Learn - Bootstrap resampling and tidy regression models
Robust and clustered standard errors with R | Program Evaluation
Dealing with heteroskedasticity; regression with robust standard errors using R
