Bootstrap Estimation

stats_bootstrap(x, do, probs = c(0.05, 0.95), n = 1000, na.rm = FALSE, ...)

Arguments

x	A vector.
do	A `function` that takes `x` as an argument and returns a single numeric value.
probs	A `numeric` vector of probabilities with values in \([0,1]\) (see `stats::quantile()`).
n	A non-negative `integer` giving the number of bootstrap replications.
na.rm	A `logical` scalar: should missing values be removed from `x` before the quantiles are computed?
...	Extra arguments passed to `do`.

A numeric vector with the following elements: