Create a bootstrap configuration

Groups bootstrap settings into a single object that can be passed to ineqx via the se argument, or to plot methods via the ci argument. All model arguments (data, formulas, etc.) are inherited from the ineqx() call automatically.

Usage

boot_config(
  B = 100L,
  parallel = FALSE,
  ncores = NULL,
  seed = NULL,
  verbose = TRUE
)

Arguments

B

Integer, number of bootstrap replicates. Default 100.

parallel

Logical, use parallel computation. Default FALSE.

ncores

Integer, number of cores for parallel. Default: all but one.

seed

Integer, random seed for reproducibility. Default NULL.

verbose

Logical, print progress messages. Default TRUE.

Value

An object of class "ineqx_boot_config"

Examples

if (FALSE) { # \dontrun{
# Bootstrap SEs with 500 replicates
ineqx("income", treat = "treat", group = "group", data = mydata,
      formula_mu = ~ treat * group,
      formula_sigma = ~ treat * group,
      se = boot_config(B = 500, seed = 42))

# Bootstrap CIs in plot (explicit config or "boot" shorthand)
plot(desc_result, ci = boot_config(B = 100))
plot(desc_result, ci = "boot")  # equivalent to boot_config()
} # }