Summary of maars_lm object — summary.maars

Summary method for class "maars_lm".

# S3 method for maars_lm
summary(
  object,
  sand = NULL,
  boot_emp = NULL,
  boot_sub = NULL,
  boot_mul = NULL,
  boot_res = NULL,
  well_specified = NULL,
  digits = 3,
  ...
)

Arguments

object	A fitted "maars_lm" object.
sand	(logical) : `TRUE` if sandwich estimator output is required, `FALSE` to exclude this output from the request.
boot_emp	(logical) : `TRUE` if empirical bootstrap standard error output is required, `FALSE` to exclude this output from the request.
boot_sub	(logical) : `TRUE` if subsampling standard error output is required, `FALSE` to exclude this output from the request.
boot_mul	(logical) : `TRUE` if multiplier bootstrap standard error output is required, `FALSE` to exclude this output from the request
boot_res	(logical) : `TRUE` if residual bootstrap standard error output is required, `FALSE` to exclude this output from the request.
well_specified	(logical) : `TRUE` if lm standard errors. (well specified) output is required, `FALSE` to exclude this output from the request.
digits	(integer) : Rounding digits used in some of the function's output.
...	Additional arguments.