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
Tidy a(n) coxph object — tidy.coxph • broom
README
Bootstrap Your Standard Errors in R, the Tidy Way | Steven V. Miller
Robust and clustered standard errors with R | Program Evaluation
tidy.survreg function fails when robust = T in survreg model · Issue #728 · tidymodels/broom · GitHub
Robust and clustered standard errors with R | Program Evaluation
Update broom::tidy to use broom::confint_tidy · Issue #229 · ddsjoberg/gtsummary · GitHub
Robust and clustered standard errors with R | Program Evaluation
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Replicating Stata's 'Robust' Option for OLS Standard Errors in R | Ryan Safner
Dealing with heteroskedasticity; regression with robust standard errors using R – R-Craft
Robust and clustered standard errors with R | Program Evaluation
augment and sandwich vcov? · Issue #237 · tidymodels/broom · GitHub
Introduction to broom • broom
Learn - Bootstrap resampling and tidy regression models
Robust and clustered standard errors with R | Program Evaluation
Robust and clustered standard errors with R | Program Evaluation
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Is Your Standard Error Robust?. Practical Guide to Picking the Correct… | by Vivian Zheng | Towards Data Science
Collection of custom tidiers — custom_tidiers • gtsummary
Dealing with heteroskedasticity; regression with robust standard errors using R
