Robust and clustered standard errors with R | Program Evaluation
Quasi-Experimental Design: Natural Experiment and Instrumental Variable – Taiwo A. Ahmed
Slides from my talk on the broom package – Variance Explained
Relaxing Assumptions of Classical - Heteroskedasticity - Relaxing Assumptions of Classical Model- - Studocu
lmtest – R Functions and Packages for Political Science Analysis
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
regression - R: Confused about robust standard errors using “felm” and “huxreg” - Cross Validated
Principles of Econometrics with R
Principles of Econometrics with R
Regression table with clustered standard errors in R jupyter notebook? - Stack Overflow
Dealing with heteroskedasticity; regression with robust standard errors using R
Introduction to broom • broom
Slides from my talk on the broom package | R-bloggers
Compatibility with stargazer or xtable · Issue #12 · tidymodels/broom · GitHub
Slides from my talk on the broom package – Variance Explained
broom/NEWS.md at main · tidymodels/broom · GitHub
ご注文は学習済モデルの確認ですか？BROOM【tidymodels, broom】 #R - Qiita
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Basic Time Series Models | SpringerLink
Bias reduction in Poisson and Tobit regression
Robust and clustered standard errors with R | Program Evaluation
sandwich: Robust Covariance Matrix Estimators • sandwich
