Type: Package Package: jackknifeR Title: Delete-d Jackknife for Point and Interval Estimation Version: 2.0.0 Authors@R: person("S.", "Mohanasundaram", , "s.mohanasundaram@outlook.com", role = c("aut", "cre"), comment = "ORCID = 0000-0003-4639-9419") Description: This function generates jackknife samples by systematically leaving out d observations from the original dataset. It performs statistical estimation on each jackknife sample and computes jackknife statistics, including coefficients, bias correction, standard errors, and confidence intervals. \n The methodology builds upon the foundational work of Quenouille (1956) and Tukey (1958) with extensions for dependent data following Shi (1988) License: GPL (>= 3) BugReports: https://github.com/MohanasundaramS/jackknifeR/issues Imports: doFuture, foreach, future, future.apply, stats, utils Suggests: spelling Encoding: UTF-8 Language: en-US References: Quenouille, M. H. (1956). Notes on bias in estimation. Biometrika, 43(3-4), 353-360. Tukey, J. W. (1958). Bias and confidence in not-quite large samples. Annals of Mathematical Statistics, 29(2), 614. Shi, X. (1988). A note on the delete-1 jackknife variance estimators. Statistics & Probability Letters, 6(5), 341-347. Efron, B., & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. Chapman & Hall. Wu, C. F. J. (1986). Jackknife, bootstrap and other resampling methods in regression analysis. Annals of Statistics, 14(4), 1261-1295. Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 Repository: https://mohanasundarams.r-universe.dev Date/Publication: 2025-04-16 14:07:50 UTC RemoteUrl: https://github.com/mohanasundarams/jackknifer RemoteRef: HEAD RemoteSha: f43dff4b362bbbd14e11c42f4a6d7afe2e19a05b NeedsCompilation: no Packaged: 2026-10-06 10:26:44 UTC; root Author: S. Mohanasundaram [aut, cre] (ORCID = 0000-0003-4639-9419) Maintainer: S. Mohanasundaram