Enhancement: easy way to select rows from a tidy data frame · Issue #525 · tidymodels/broom · GitHub
Slides from my talk on the broom package – Variance Explained
Dealing with heteroskedasticity; regression with robust standard errors using R
Robust and clustered standard errors with R | Program Evaluation
Available methods • broom
sandwich: Robust Covariance Matrix Estimators • sandwich
Slides from my talk on the broom package – Variance Explained
Principles of Econometrics with R
Group-By Modeling in R Made Easy | r4stats.com
Replicating Stata's 'Robust' Option for OLS Standard Errors in R | Ryan Safner
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Visualization of regression coefficients (in R) | R-bloggers
modelsummary package - RDocumentation
Principles of Econometrics with R
Slides from my talk on the broom package | R-bloggers
Robust and clustered standard errors with R | Program Evaluation
Plot regression models — plot_model • sjPlot
HAC (Newey-West) standard errors · Issue #272 · DeclareDesign/estimatr · GitHub
Tyler Ransom on Twitter: "I put together this brief guide for how to do basic econometrics in #tidyR. I hope someone finds it useful! https://t.co/Hk3cgUcXex https://t.co/GQnRXpZcMD" / Twitter
Mao Wang (@maowang01) / Twitter
Basic Time Series Models | SpringerLink
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Compatibility with stargazer or xtable · Issue #12 · tidymodels/broom · GitHub
Robust and clustered standard errors with R | Program Evaluation
