confint.maars_lm: Confidence interval of 'maars_lm, lm' object
In shamindras/maar: Tidy Inference Under Misspecified Statistical Models in R

confint method for an object of class maars_lm, lm.

## S3 method for class '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,
  ...
)

`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.