Robust Linear Regression with Student's `\(t\)`-Distribution | A. Solomon Kurz
Dealing with heteroskedasticity; regression with robust standard errors using R
Tidy a(n) coxph object — tidy.coxph • broom
When to judgmentally ignore model recommendation based on residual and other standard error tests when running the fable package for forecasting? - Machine Learning and Modeling - Posit Community
Tools for summarizing and visualizing regression models
Analyse Pseudo-R2, VIF scores and robust standard errors for generalised linear models in R – R Functions and Packages for Political Science Analysis
Export regression summaries to tables — export_summs • jtools
Tidy a(n) lm object — tidy.lm • broom
augment and sandwich vcov? · Issue #237 · tidymodels/broom · GitHub
Bootstrap Your Standard Errors in R, the Tidy Way | Steven V. Miller
Robust and clustered standard errors with R | Program Evaluation
Tidymodels tutorial for machine learning in R | Step By Step Data Science
Add tidy() method for miceadds · Issue #1021 · tidymodels/broom · GitHub
tidiers for `gamlss` models · Issue #507 · tidymodels/broom · GitHub
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regression - R: Confused about robust standard errors using “felm” and “huxreg” - Cross Validated
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Tidy a(n) felm object — tidy.felm • broom
When to judgmentally ignore model recommendation based on residual and other standard error tests when running the fable package for forecasting? - Machine Learning and Modeling - Posit Community
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tidymodels - Bootstrap resampling and tidy regression models
Robust and clustered standard errors with R | Program Evaluation
Tools for summarizing and visualizing regression models • jtools
robust standard errors: will tidy.coeftest(., conf.int=TRUE) ever be possible? · Issue #663 · tidymodels/broom · GitHub
Collection of custom tidiers — custom_tidiers • gtsummary
