Computes the "leave-one-out" Jackknife bias and standard error of an estimator f(x) of a data-vector x, or an estimator f(x,y) of vectors x and y. See Efron and Tibshirani (1993) for details
jackknife(x, f, y = NULL, ...)Returns a list with the following components:
Default value of the estimator f.
Jackknife bias estimate of f.
Bias-corrected value of f.
Jackknife standard error of f.
data vector
estimator function f(x,...) or f(x,y,...)
optional data vector if f is a function of two vectors, such as the correlation coefficient cor(x,y).
optional arguments to be passed to f.
Danail Obreschkow