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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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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