interval: Bootstrap confidence intervals
In thoree/inbred: Different functions related to LR, bootstrap etc

Description Usage Arguments Details Value Examples

Some alternative confidence intervals are implemented

1	interval(x, method = "perc", conf.level = 0.95)

`x`	Double vector. Bootstrap sample.
`method`	Character. See details.
`conf.level`	Double in(0,1). Confidence level

The implemented methods are 'perc', the standard using the 'quantile' function R to find the percentile; ‘bca', see 'coxed::bca“ and ’student' based on the normal approximation.

returns a vector of length 2 in which the first element is the lower bound and the second element is the upper bound

library(coxed)
x = rnorm(100000)
interval(x, method = "perc")
interval(x, method = "bca")
interval(x, method = "student")
interval(x, method = "Not implemented")

# Example Efron&Tibshirani p 154
x = c(52, 104, 146, 10, 51, 30, 40, 27, 46)
n = length(x)
m = mean (x)
s2 = sum((x-m)^2)/(n-1)
se = sqrt(s2)/sqrt(n)
c("mean" = m, "se" = se)
interval(x, method = "bca", conf.level = 0.9)

# The bootstrap t-interval, Sect 12.5
B = 2
xstar = sample(x, replace = T)
theta.hat = m
Zstarb =