Analyse Pseudo-R2, VIF scores and robust standard errors for generalised linear models in R – R Functions and Packages for Political Science Analysis
README
Table 3 from Cluster-Robust Standard Errors for Linear Regression Models with Many Controls | Semantic Scholar
Robust Standard Errors and OLS Standard Errors
broom: a package for tidying statistical models into data frames – Variance Explained
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 and clustered standard errors with R | Program Evaluation
Dealing with heteroskedasticity; regression with robust standard errors using R
Chapter 27 Linear Regression and Broom for Tidying Models | Reproducible Medical Research with R
Tools for summarizing and visualizing regression models • jtools
How to Calculate Robust Standard Errors in R - Statology
Is Your Standard Error Robust?. Practical Guide to Picking the Correct… | by Vivian Kwok | Towards Data Science
Robust Standard Errors - FasterCapital
Table 3 from Cluster-Robust Standard Errors for Linear Regression Models with Many Controls | Semantic Scholar
Tools for summarizing and visualizing regression models • jtools
Dealing with heteroskedasticity; regression with robust standard errors using R
regression - R: Confused about robust standard errors using “felm” and “huxreg” - Cross Validated
An observation regarding robust standard errors in R and Stata - Richard Paquin Morel
Program Evaluation - Robust and clustered standard errors with R
Robust Standard Errors and OLS Standard Errors
Dealing with heteroskedasticity; regression with robust standard errors using R
Analyse Pseudo-R2, VIF scores and robust standard errors for generalised linear models in R – R Functions and Packages for Political Science Analysis
The intuition of robust standard errors | ChrisAuld.com
