jackknifeR: Delete-d Jackknife for Point and Interval Estimation

This function creates jackknife samples from the data by sequentially removing d observations from the data, performs estimation using the jackknife samples and calculates the jackknife coefficients, bias, standard error and confidence intervals based on the methodology discussed by Quenouille (1956) <doi:10.2307/2332914>, Tukey (1958) <doi:10.1214/aoms/1177706647> and Shi (1988) <doi:10.1016/0167-7152(88)90011-9>.

Version: 1.2.0
Imports: doParallel, foreach, utils
Published: 2023-05-08
DOI: 10.32614/CRAN.package.jackknifeR
Author: S. Mohanasundaram [aut, cre] (ORCID = 0000-0003-4639-9419)
Maintainer: S. Mohanasundaram <s.mohanasundaram at outlook.com>
BugReports: https://github.com/MohanasundaramS/jackknifeR/issues
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: jackknifeR results


Reference manual: jackknifeR.pdf


Package source: jackknifeR_1.2.0.tar.gz
Windows binaries: r-devel: jackknifeR_1.2.0.zip, r-release: jackknifeR_1.2.0.zip, r-oldrel: jackknifeR_1.2.0.zip
macOS binaries: r-release (arm64): jackknifeR_1.2.0.tgz, r-oldrel (arm64): jackknifeR_1.2.0.tgz, r-release (x86_64): jackknifeR_1.2.0.tgz, r-oldrel (x86_64): jackknifeR_1.2.0.tgz
Old sources: jackknifeR archive


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