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Heteroskedasticity-robust standard errors | Assumptions and derivation
Robust and clustered standard errors with R | Program Evaluation
Tidy a(n) felm object — tidy.felm • broom
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Adjustments of already-adjusted standard errors · Issue #280 · vincentarelbundock/modelsummary · GitHub
Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready • modelsummary
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
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cluster computing - How to create an linear model output with clustered (by firms) standard error in R - Stack Overflow
ECON61001 Robust standard errors - YouTube
Analyse Pseudo-R2, VIF scores and robust standard errors for generalised linear models in R – R Functions and Packages for Political Science Analysis
Can you get robust standard errors using the tbl_regression function in gtsummary? - Stack Overflow
Robust and clustered standard errors with R | Program Evaluation
diagnostics – R Functions and Packages for Political Science Analysis
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Dealing with heteroskedasticity; regression with robust standard errors using R
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Dealing with heteroskedasticity; regression with robust standard errors using R
Tools for summarizing and visualizing regression models • jtools
PDF) Extracting, Computing and Exploring the Parameters of Statistical Models using R
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Robust and clustered standard errors with R | Program Evaluation
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