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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 |
| 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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