Robust and clustered standard errors with R | Program Evaluation
Robust and clustered standard errors with R | Program Evaluation
diagnostics – R Functions and Packages for Political Science Analysis
Bootstrap Your Standard Errors in R, the Tidy Way | Steven V. Miller
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
README
Tools for summarizing and visualizing regression models • jtools
Tools for summarizing and visualizing regression models • jtools
Tidy a(n) felm object — tidy.felm • broom
regression - R: Confused about robust standard errors using “felm” and “huxreg” - Cross Validated
Survival Analysis R difference between Robust Variance and Greenwood's formula? - Cross Validated
augment and sandwich vcov? · Issue #237 · tidymodels/broom · GitHub
Understanding Robust Standard Errors | University of Virginia Library Research Data Services + Sciences
PDF) Extracting, Computing and Exploring the Parameters of Statistical Models using R
Collection of custom tidiers — custom_tidiers • gtsummary
Fixed effects and clustered standard errors with felm (2 of 2) on Vimeo
Dealing with heteroskedasticity; regression with robust standard errors using R
The intuition of robust standard errors | ChrisAuld.com
Dealing with heteroskedasticity; regression with robust standard errors using R
Can you get robust standard errors using the tbl_regression function in gtsummary? - Stack Overflow
README - jtools
An observation regarding robust standard errors in R and Stata - Richard Paquin Morel
broom: a package for tidying statistical models into data frames – Variance Explained
Robust and clustered standard errors with R | Program Evaluation
r - plottting regression estimates based on estimate and st. error alone - Stack Overflow
