Bootstrap confidence intervals
Description
Bootstrap confidence intervals  percentile method or t interval.
Usage
1 2 3 4 
Arguments
x 
a 
probs 
probability values, between 0 and 1. The default vector

expand 
logical, if 
... 
additional arguments to pass to 
L 
vector of length 
Details
CI.bootstrapT
assumes the first dimension of the statistic
is an estimate, and the second is proportional to a SE for the
estimate. E.g. for bootstrapping the mean, they could be the mean and s.
This is subject to change.
CI.bca
and CI.bootstrapT
currently only support
a single sample.
Value
a matrix with one column for each value in probs
and one row
for each statistic.
Author(s)
Tim Hesterberg timhesterberg@gmail.com,
http://www.timhesterberg.net/bootstrap
References
This discusses the expanded percentile interval: Hesterberg, Tim (2014), What Teachers Should Know about the Bootstrap: Resampling in the Undergraduate Statistics Curriculum, http://arxiv.org/abs/1411.5279.
See Also
bootstrap
,
bootstrap2
,
ExpandProbs
(for the expanded intervals).
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13  ## Not run:
# See full set of examples in resamplepackage, including different
# ways to call all four functions depending on the structure of the data.
data(Verizon)
CLEC < with(Verizon, Time[Group == "CLEC"])
bootC < bootstrap(CLEC, mean, seed = 0)
bootC2 < bootstrap(CLEC, c(mean = mean(CLEC), sd = sd(CLEC)), seed = 0)
CI.percentile(bootC)
CI.t(bootC)
CI.bca(bootC)
CI.bootstrapT(bootC2)
## End(Not run)
