Tools for summarizing and visualizing regression models • jtools
README
Robust Standard Errors - FasterCapital
Tools for summarizing and visualizing regression models • jtools
The ultimate practical guide to conjoint analysis with R | Andrew Heiss
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
Is Your Standard Error Robust?. Practical Guide to Picking the Correct… | by Vivian Kwok | Towards Data Science
augment and sandwich vcov? · Issue #237 · tidymodels/broom · GitHub
Robust and clustered standard errors with R | Program Evaluation
Robust Standard Errors - FasterCapital
Robust and clustered standard errors with R | Program Evaluation
Heteroskedasticity Robust Standard Errors in R · r-econometrics
Tidy a(n) coxph object — tidy.coxph • broom
Robust and clustered standard errors with R | Program Evaluation
Analyse Pseudo-R2, VIF scores and robust standard errors for generalised linear models in R – R Functions and Packages for Political Science Analysis
Analyse Pseudo-R2, VIF scores and robust standard errors for generalised linear models in R – R Functions and Packages for Political Science Analysis
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Table 3 from Cluster-Robust Standard Errors for Linear Regression Models with Many Controls | Semantic Scholar
Chapter 27 Linear Regression and Broom for Tidying Models | Reproducible Medical Research with R
Table 3 from Cluster-Robust Standard Errors for Linear Regression Models with Many Controls | Semantic Scholar
The intuition of robust standard errors | ChrisAuld.com
An observation regarding robust standard errors in R and Stata - Richard Paquin Morel
Dealing with heteroskedasticity; regression with robust standard errors using R
