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Analyse Pseudo-R2, VIF scores and robust standard errors for generalised linear models in R – R Functions and Packages for Political Science Analysis
Program Evaluation - Robust and clustered standard errors with R
Robust and clustered standard errors with R | Program Evaluation
Robust and clustered standard errors with R | Program Evaluation
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tidiers for `gamlss` models · Issue #507 · tidymodels/broom · GitHub
Pooling Poisson GLM with Robust Variance after MICE imputation · Issue #233 · amices/mice · GitHub
Dealing with heteroskedasticity; regression with robust standard errors using R
Understanding Robust Standard Errors | UVA Library
Analyse Pseudo-R2, VIF scores and robust standard errors for generalised linear models in R – R Functions and Packages for Political Science Analysis
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Robust and clustered standard errors with R | Program Evaluation
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robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Understanding Robust Standard Errors | UVA Library
Robust and clustered standard errors with R | Program Evaluation
Tools for summarizing and visualizing regression models • jtools
Tools for summarizing and visualizing regression models • jtools
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Dealing with heteroskedasticity; regression with robust standard errors using R
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Bootstrap Your Standard Errors in R, the Tidy Way | Steven V. Miller
