Slides from my talk on the broom package | R-bloggers
regression - R: Confused about robust standard errors using “felm” and “huxreg” - Cross Validated
Slides from my talk on the broom package – Variance Explained
lmtest – R Functions and Packages for Political Science Analysis
Robust and clustered standard errors with R | Program Evaluation
sandwich: Robust Covariance Matrix Estimators • sandwich
Slides from my talk on the broom package – Variance Explained
Causal inference with count regression | A. Solomon Kurz
Causal inference with count regression | A. Solomon Kurz
Robust and clustered standard errors with R | Program Evaluation
Robust and clustered standard errors with R | Program Evaluation
Relaxing Assumptions of Classical - Heteroskedasticity - Relaxing Assumptions of Classical Model- - Studocu
Basic Time Series Models | SpringerLink
RPubs - Doing More with Regression Output in R
Principles of Econometrics with R
Column names: tidy() · Issue #455 · tidymodels/broom · GitHub
Robust and clustered standard errors with R | Program Evaluation
Introduction to broom • broom
Regression table with clustered standard errors in R jupyter notebook? - Stack Overflow
Compatibility with stargazer or xtable · Issue #12 · tidymodels/broom · GitHub
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
