Jackknife Estimation

## Value

Returns a named `numeric`

`vector`

with the following elements:

`original`

The observed value of

`do`

applied to`object`

.`mean`

The jackknife estimate of mean of

`do`

.`bias`

The jackknife estimate of bias of

`do`

.`error`

he jackknife estimate of standard error of

`do`

.

## See also

Other resampling methods:
`bootstrap()`

## Examples

```
x <- rnorm(20)
## Bootstrap
bootstrap(x, do = mean, n = 100)
#> original mean bias error
#> -0.16692559 -0.13747564 0.02944995 0.22321654
## Estimate the 25th and 95th percentiles
quant <- function(x) { quantile(x, probs = c(0.25, 0.75)) }
bootstrap(x, n = 100, do = mean, f = quant)
#> 25% 75%
#> -0.3277113 0.0258578
## Jackknife
jackknife(x, do = mean) # Sample mean
#> original mean bias error
#> -0.1669256 -0.1669256 0.0000000 0.2280445
```