An observation regarding robust standard errors in R and Stata - Richard Paquin Morel
Dealing with heteroskedasticity; regression with robust standard errors using R
Survival Analysis R difference between Robust Variance and Greenwood's formula? - Cross Validated
Robust and clustered standard errors with R | Program Evaluation
Tidy a(n) felm object — tidy.felm • broom
Tools for summarizing and visualizing regression models • jtools
Fixed effects and clustered standard errors with felm (2 of 2) on Vimeo
README
README
diagnostics – R Functions and Packages for Political Science Analysis
Bootstrap Your Standard Errors in R, the Tidy Way | Steven V. Miller
Robust and clustered standard errors with R | Program Evaluation
Tools for summarizing and visualizing regression models • jtools
r - plottting regression estimates based on estimate and st. error alone - Stack Overflow
Dealing with heteroskedasticity; regression with robust standard errors using R
diagnostics – R Functions and Packages for Political Science Analysis
Robust and clustered standard errors with R | Program Evaluation
PDF) Extracting, Computing and Exploring the Parameters of Statistical Models using R
Robust and clustered standard errors with R | Program Evaluation
Video Tutorial on Robust Standard Errors | R-bloggers
Tools for summarizing and visualizing regression models • jtools
Robust and clustered standard errors with R | Program Evaluation
How to Calculate Robust Standard Errors in R - Statology
Robust and clustered standard errors with R | Program Evaluation
Ryan Safner - Replicating Stata's 'Robust' Option for OLS Standard Errors in R
