rpjack(x, ...)ruinprob.ncol(as.matrix(x)).
x is a vector of observed claims, for each element of x the probability of ruin is
estimated with said element of x left out. The resulting vector of ruin probabilities has the
same length as x, and its standard error, properly rescaled, is used to approximate the
standard error of the estimator of the probability of ruin of x.This procedure is applied column-wise if x is a matrix.
Tukey, J. W. (1958) Bias and Confidence in Not Quite Large Samples. The Annals of Mathematical Statistics, 29(2), p. 614.
Quenouille, M. H. (1956) Note on Bias in Estimation. Biometrika, 43, pp. 353--360.
ruinprob for valid options that can be used for ....