list with the following components - confpoints: estimated bca confidence limits
z0: estimated bias correction
acc: estimated acceleration constant
u: jackknife influence values
call: The deparsed call
References
Efron, B. and Tibshirani, R. (1986). The Bootstrap Method for standard errors, confidence intervals, and other measures of statistical accuracy. Statistical Science, Vol 1., No. 1, pp 1-35.
Efron, B. (1987). Better bootstrap confidence intervals (with discussion). J. Amer. Stat. Assoc. vol 82, pg 171
Efron, B. and Tibshirani, R. (1993) An Introduction to the Bootstrap. Chapman and Hall, New York, London.
Examples
# bca limits for the mean # (this is for illustration; # since "mean" is a built in function,# bcanon(x,100,mean) would be simpler!) x <- rnorm(20) theta <-function(x){mean(x)} results <- bcanon(x,100,theta)# To obtain bca limits for functions of more # complex data structures, write theta# so that its argument x is the set of observation# numbers and simply pass as data to bcanon # the vector 1,2,..n. # For example, find bca limits for# the correlation coefficient from a set of 15 data pairs: xdata <- matrix(rnorm(30),ncol=2) n <-15 theta <-function(x,xdata){ cor(xdata[x,1],xdata[x,2])} results <- bcanon(1:n,100,theta,xdata)