Package: jackknifeR 2.0.0
jackknifeR: Delete-d Jackknife for Point and Interval Estimation
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) <doi:10.2307/2332914> and Tukey (1958) <doi:10.1214/aoms/1177706647> with extensions for dependent data following Shi (1988) <doi:10.1016/0167-7152(88)90011-9>
Authors:
jackknifeR_2.0.0.tar.gz
jackknifeR_2.0.0.zip(r-4.7)jackknifeR_2.0.0.zip(r-4.6)jackknifeR_2.0.0.zip(r-4.5)
jackknifeR_2.0.0.tgz(r-4.6-any)jackknifeR_2.0.0.tgz(r-4.5-any)
jackknifeR_2.0.0.tar.gz(r-4.7-any)jackknifeR_2.0.0.tar.gz(r-4.6-any)
jackknifeR_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
jackknifeR/json (API)
NEWS
| # Install 'jackknifeR' in R: |
| install.packages('jackknifeR', repos = c('https://mohanasundarams.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mohanasundarams/jackknifer/issues
Last updated from:f43dff4b36. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 106 | ||
| source / vignettes | OK | 167 | ||
| linux-release-x86_64 | NOTE | 139 | ||
| macos-release-arm64 | NOTE | 150 | ||
| macos-oldrel-arm64 | NOTE | 148 | ||
| windows-devel | NOTE | 88 | ||
| windows-release | NOTE | 89 | ||
| windows-oldrel | NOTE | 87 | ||
| wasm-release | OK | 87 |
Exports:jackknifejackknife.corjackknife.lmjackknife.lm.weighted
Dependencies:codetoolsdigestdoFutureforeachfuturefuture.applyglobalsiteratorslistenvparallelly
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Delete-d Jackknife for Estimates | jackknife |
| Delete-d Jackknife Estimate for Correlation between Two Variables | jackknife.cor |
| Delete-d Jackknife Estimate for Linear Regression | jackknife.lm |
| Delete-d Jackknife Estimate for Linear Regression | jackknife.lm.weighted |
