lmtest – R Functions and Packages for Political Science Analysis
Group-By Modeling in R Made Easy | R-bloggers
Regression table with clustered standard errors in R jupyter notebook? - Stack Overflow
Compatibility with stargazer or xtable · Issue #12 · tidymodels/broom · GitHub
Dealing with heteroskedasticity; regression with robust standard errors using R
Quasi-Experimental Design: Natural Experiment and Instrumental Variable – Taiwo A. Ahmed
Column names: tidy() · Issue #455 · tidymodels/broom · GitHub
broom/NEWS.md at main · tidymodels/broom · GitHub
Causal inference with count regression | A. Solomon Kurz
sandwich: Robust Covariance Matrix Estimators • sandwich
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Enhancement: easy way to select rows from a tidy data frame · Issue #525 · tidymodels/broom · GitHub
ご注文は学習済モデルの確認ですか？BROOM【tidymodels, broom】 #R - Qiita
RPubs - Doing More with Regression Output in R
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
Principles of Econometrics with R
Non-Constant Variance
Slides from my talk on the broom package | R-bloggers
Causal inference with count regression | A. Solomon Kurz
sandwich: Robust Covariance Matrix Estimators • sandwich
regression analysis – R Functions and Packages for Political Science Analysis
Relaxing Assumptions of Classical - Heteroskedasticity - Relaxing Assumptions of Classical Model- - Studocu
Robust and clustered standard errors with R | Program Evaluation
Slides from my talk on the broom package – Variance Explained
