Skip to contents

Bayesian bootstrap for linear regression

Usage

bboot(object, reps = 100L, cluster = NULL, ...)

Arguments

object

model object of class lm or fixest

reps

number of replications

cluster

clustering variable passed as bare formula or char vector

Value

bboot object

Examples

lm(mpg ~ wt + hp, mtcars) |>
  bboot(reps = 1e3) |>
  summary()
#> Loading required package: fixest
#>                    mean    conf.low  conf.upper
#> (Intercept) 37.20325292 33.52256643 40.86486152
#> wt          -3.86020154 -5.03703081 -2.66822040
#> hp          -0.03244541 -0.04556427 -0.02063755