jackknife: Generate Jackknife Subsamples

In jrnold/ramsleep: Resampling, Cross-Validation, and Permutation Methods Infrastucture

Description

Generate jackknife subsamples. For data with n elements, the jackknife generates n subsamples, each with one element deleted. The generalized (delete-p, block) jackknife generates subsamples by deleting p observations.

Usage

jackknife(n, size = 1L)

Arguments

n	A positive, scalar integer representing the number of observations (items to choose from).
size	A scalar integer representing the number of elements to delete. When size = 1, the subsets are generated by ordinary (delete-one) jackknife. When size > 1, the subsets are generated by the block (delete-p) jackknife.

References

• Davison, A. C. & Hinkley, D. V. (1997) Bootstrap Methods and Their Applications. Cambridge University Press, Cambridge. ISBN 0-521-57391-2.

• Tukey, J. W. (1958). "Bias and confidence in not quite large samples". The Annals of Mathematical Statistics. doi:10.1214/aoms/1177706647.

• Efron, B.; Stein, C. (May 1981). "The Jackknife Estimate of Variance". The Annals of Statistics. doi:10.1214/aos/1176345462.

jrnold/ramsleep documentation built on May 29, 2019, 11:43 a.m.