Package: jackknifeR 1.2.0
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>.
Authors:
jackknifeR_1.2.0.tar.gz
jackknifeR_1.2.0.zip(r-4.5)jackknifeR_1.2.0.zip(r-4.4)jackknifeR_1.2.0.zip(r-4.3)
jackknifeR_1.2.0.tgz(r-4.4-any)jackknifeR_1.2.0.tgz(r-4.3-any)
jackknifeR_1.2.0.tar.gz(r-4.5-noble)jackknifeR_1.2.0.tar.gz(r-4.4-noble)
jackknifeR_1.2.0.tgz(r-4.4-emscripten)jackknifeR_1.2.0.tgz(r-4.3-emscripten)
jackknifeR.pdf |jackknifeR.html✨
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 2 years agofrom:5b1fda07de. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win | OK | Oct 27 2024 |
| R-4.5-linux | OK | Oct 27 2024 |
| R-4.4-win | OK | Oct 27 2024 |
| R-4.4-mac | OK | Oct 27 2024 |
| R-4.3-win | OK | Oct 27 2024 |
| R-4.3-mac | OK | Oct 27 2024 |
Exports:jackknifejackknife.corjackknife.lm
Dependencies:codetoolsdoParallelforeachiterators
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 |
