This functions constructs an object resembling one produced by the
`boot`

package's `boot`

function, and runs that package's
`boot.ci`

function to compute BCa and percentile confidence limits.
`bootBCa`

can provide separate confidence limits for a vector of
statistics when `estimate`

has length greater than 1. In that
case, `estimates`

must have the same number of columns as
`estimate`

has values.

```
bootBCa(estimate, estimates, type=c('percentile','bca','basic'),
n, seed, conf.int = 0.95)
```

a 2-vector if `estimate`

is of length 1, otherwise a matrix
with 2 rows and number of columns equal to the length of

`estimate`

- estimate
original whole-sample estimate

- estimates
vector of bootstrap estimates

- type
type of confidence interval, defaulting to nonparametric percentile

- n
original number of observations

- seed
`.Random.seem`

in effect before bootstrap estimates were run- conf.int
confidence level

Frank Harrell