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
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
Robust and clustered standard errors with R | Program Evaluation
Dealing with heteroskedasticity; regression with robust standard errors using R
Bootstrap Your Standard Errors in R, the Tidy Way | Steven V. Miller
Collection of custom tidiers — custom_tidiers • gtsummary
broom: a package for tidying statistical models into data frames – Variance Explained
augment and sandwich vcov? · Issue #237 · tidymodels/broom · GitHub
Robust and clustered standard errors with R | Program Evaluation
Introduction to broom • broom
Robust and clustered standard errors with R | Program Evaluation
tidy.survreg function fails when robust = T in survreg model · Issue #728 · 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 Standard Errors | Real Statistics Using Excel
Dealing with heteroskedasticity; regression with robust standard errors using R
Is Your Standard Error Robust?. Practical Guide to Picking the Correct… | by Vivian Zheng | Towards Data Science
Tools for summarizing and visualizing regression models • jtools
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
README
Learn - Bootstrap resampling and tidy regression models
Robust and clustered standard errors with R | Program Evaluation
The intuition of robust standard errors | ChrisAuld.com
Plot Regression Summaries — plot_summs • jtools
Replicating Stata's 'Robust' Option for OLS Standard Errors in R | Ryan Safner
