Reference

Statistical Utilities Utilities for doing statistical estimation and inference under model misspecification
comp_var()	Generate maars_lm, lm object with estimates of the variance
get_assumptions()	Retrieve the assumptions for the variance estimators to be consistent for a a fitted OLS maars_lm, lm class object
get_confint()	Get the tidy variance summary and confidence intervals for the coefficients of an object of class "maars_lm"
get_summary()	Get the tidy variance summary from a fitted OLS maars_lm, lm class object
Diagnostic Utilities Utilities for performing model fit diagnostics under model misspecification
diag_boot_qqn()	Normal Q-Q plot of the terms in an output of the bootstrap function
diag_fit_reg_rwgt()	Obtain estimates of GLM or OLS under reweighting of one or multiple regressors
diag_foc_rwgt()	Obtain the "focal reweighting variable" model diagnostic.
diag_foc_slope()	Obtain the "focal slope" model diagnostic
diag_nl_detect()	Obtain the "nonlinearity detection" model diagnostic
get_plot()	Get a list of standard diagnostic plots for lm, in the link[ggplot2] package style.
Print, summarize, and plot data Print, summarize, and plot maars objects
print(<maars_lm>)	Print maars_lm object
summary(<maars_lm>)	Summary of maars_lm object
print(<summary.maars_lm>)	Print summary of maars_lm object
plot(<maars_lm>)	Plot maars_lm, lm object
confint(<maars_lm>)	Confidence interval of maars_lm, lm object
Other utilities Other utilities
as.maars()	Convert an object to an object that can be handled by the "maars" package
Datasets Datasets included in the maars package
la_county	LA County Census tract data from see Buja et al. (2019)
boston_housing	This (corrected) dataset contains information collected by the U.S Census Service concerning housing in the area of Boston Massachusetts.