Tools for summarizing and visualizing regression models • jtools
Tools for summarizing and visualizing regression models • jtools
Survival Analysis R difference between Robust Variance and Greenwood's formula? - Cross Validated
README
diagnostics – R Functions and Packages for Political Science Analysis
broom: a package for tidying statistical models into data frames – Variance Explained
How to Calculate Robust Standard Errors in R - Statology
r - plottting regression estimates based on estimate and st. error alone - Stack Overflow
PDF) Extracting, Computing and Exploring the Parameters of Statistical Models using R
The intuition of robust standard errors | ChrisAuld.com
README - jtools
Ryan Safner - Replicating Stata's 'Robust' Option for OLS Standard Errors in R
Robust and clustered standard errors with R | Program Evaluation
regression - R: Confused about robust standard errors using “felm” and “huxreg” - Cross Validated
R12. Robust/White Standard Errors. (Econometrics in R) - YouTube
Dealing with heteroskedasticity; regression with robust standard errors using R
Tidy a(n) felm object — tidy.felm • broom
Robust and clustered standard errors with R | Program Evaluation
Tools for summarizing and visualizing regression models • jtools
Dealing with heteroskedasticity; regression with robust standard errors using R
augment and sandwich vcov? · Issue #237 · tidymodels/broom · GitHub
README
An observation regarding robust standard errors in R and Stata - Richard Paquin Morel
Understanding Robust Standard Errors | University of Virginia Library Research Data Services + Sciences
Bootstrap Your Standard Errors in R, the Tidy Way | Steven V. Miller
Collection of custom tidiers — custom_tidiers • gtsummary
Tools for summarizing and visualizing regression models • jtools
