list with the following components - call: the call to abcpar
limits: The nominal confidence level, ABC point, quadratic ABC point, and standard normal point.
stats: list consisting of observed value of tt, estimated standard error and estimated bias
constants: list consisting of a=acceleration constant, z0=bias adjustment, cq=curvature component, - asym.05: asymmetry component
References
Efron, B, and DiCiccio, T. (1992) More accurate confidence intervals in exponential families. Bimometrika 79, pages 231-245.
Efron, B. and Tibshirani, R. (1993) An Introduction to the Bootstrap. Chapman and Hall, New York, London.
Examples
# binomial# x is a p-vector of successes, n is a p-vector of # number of trials## Not run:S <- matrix(0,nrow=p,ncol=p)S[row(S)==col(S)]<- x*(1-x/n)mu <-function(eta,n){n/(1+exp(eta))}etahat <- log(x/(n-x))#suppose p=2 and we are interested in mu2-mu1tt <-function(mu){mu[2]-mu[1]}x <- c(2,4); n <- c(12,12)a <- abcpar(x, tt, S, etahat,n)## End(Not run)