`bootstrap()`

generate bootstrap estimations of an MCD.`jackknife()`

generate jackknife estimations of an MCD.

## Arguments

- object
- n
A non-negative

`integer`

specifying the number of bootstrap replications.- f
A

`function`

that takes a single numeric vector (the result of the resampling procedure) as argument.- calendar
A

`TimeScale`

object specifying the target calendar (see`calendar()`

).- nsim
A non-negative

`integer`

specifying the number of simulations.

## Value

If `f`

is `NULL`

, `bootstrap()`

and `jackknife()`

return a `data.frame`

with the following elements (else, returns the result of `f`

applied to the
`n`

resampled values) :

- original
The observed value.

- mean
The bootstrap/jackknife estimate of mean.

- bias
The bootstrap/jackknife estimate of bias.

- error
The boostrap/jackknife estimate of standard erro.

## See also

Other resampling methods:
`resample_event`