Get the tidy variance summary and confidence intervals for the coefficients of an object of class "maars_lm"

Get the tidy variance summary and confidence intervals from a fitted OLS maars_lm, lm class object

get_confint(
  mod_fit,
  parm = NULL,
  level = 0.95,
  sand = NULL,
  boot_emp = NULL,
  boot_sub = NULL,
  boot_mul = NULL,
  boot_res = NULL,
  well_specified = NULL
)

Arguments

mod_fit	(maars_lm, lm) A fitted OLS `maars_lm, lm` class 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	(double) : numeric value between 0 and 1 indicating the confidence level (e.g., 0.95)
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

Value

(tibble) : Combined standard error and confidence intervals summary from a fitted OLS maars_lm, lm class object

Details

The function generates the same output as get_boot_summary, but also includes lower and upper confidence intervals for the regression coefficients according to the significance level specified in the "level" argument.

Examples

if (FALSE) {
# TODO: Add here
}