This functions constructs an object resembling one produced by the
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
estimate has length greater than 1. In that
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
original whole-sample estimate
vector of bootstrap estimates
type of confidence interval, defaulting to nonparametric percentile
original number of observations
.Random.seem in effect before bootstrap estimates