Bootstrap Estimation

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

- 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:

`min`

Minimum value.

`mean`

Mean value.

`max`

Maximum value.

`Q*`

Sample quantile to * probability.