Dealing with heteroskedasticity; regression with robust standard errors using R
Tools for summarizing and visualizing regression models
Robust and clustered standard errors with R | Program Evaluation
Dealing with heteroskedasticity; regression with robust standard errors using R
Column names: tidy() · Issue #455 · tidymodels/broom · GitHub
Analyse Pseudo-R2, VIF scores and robust standard errors for generalised linear models in R – R Functions and Packages for Political Science Analysis
regression - R: Confused about robust standard errors using “felm” and “huxreg” - Cross Validated
Tidy bootstrapping • broom
Bootstrap Your Standard Errors in R, the Tidy Way | Steven V. Miller
Robust and clustered standard errors with R | Program Evaluation
Tidy a(n) lm object — tidy.lm • broom
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Export regression summaries to tables — export_summs • jtools
RFD/wishlist: option to standardize coefficients? · Issue #460 · tidymodels/ broom · GitHub
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
Collection of custom tidiers — custom_tidiers • gtsummary
Robust and clustered standard errors with R | Program Evaluation
Chapter 27 Linear Regression and Broom for Tidying Models | Reproducible Medical Research with R
Collection of custom tidiers — custom_tidiers • gtsummary
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