Confidence interval of maars_lm, lm object — confint.maars

confint method for an object of class maars_lm, lm.

# S3 method for maars_lm
confint(
  object,
  parm = NULL,
  level = 0.95,
  sand = TRUE,
  boot_emp = FALSE,
  boot_sub = FALSE,
  boot_res = FALSE,
  boot_mul = FALSE,
  well_specified = FALSE,
  digits = 3,
  ...
)

Arguments

object	A fitted "maars_lm" object.
parm	(`NULL`) : a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered. Currently only allowed value is `NULL`.
level	(numeric) : TODO: Add later
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_res	(logical) : `TRUE` if residual bootstrap 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
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.