Package: ppwdeming 2.1.0.1
ppwdeming: Precision Profile Weighted Deming Regression
Weighted Deming regression, also known as 'errors-in-variable' regression, is applied with suitable weights. Weights are modeled via a precision profile; thus the methods implemented here are referred to as precision profile weighted Deming (PWD) regression. The package covers two settings – one where the precision profiles are known either from external studies or from adequate replication of the X and Y readings, and one in which there is a plausible functional form for the precision profiles but the exact (unknown) function must be estimated from the (generally singlicate) readings. The function set includes tools for: estimated standard errors (via jackknifing); standardized-residual analysis function with regression diagnostic tools for normality, linearity and constant variance; and an outlier analysis identifying significant outliers for closer investigation. Weighted Deming regression is also now implemented for multiple instruments. The following reference provides further information on mathematical derivations and applications. Hawkins, D.M., and J.J. Kraker (2026). 'Precision Profile Weighted Deming Regression for Methods Comparison'. The Journal of Applied Laboratory Medicine 11, 379-392 <doi:10.1093/jalm/jfaf183>.
Authors:
ppwdeming_2.1.0.1.tar.gz
ppwdeming_2.1.0.1.zip(r-4.7)ppwdeming_2.1.0.1.zip(r-4.6)ppwdeming_2.1.0.1.zip(r-4.5)
ppwdeming_2.1.0.1.tgz(r-4.6-any)ppwdeming_2.1.0.1.tgz(r-4.5-any)
ppwdeming_2.1.0.1.tar.gz(r-4.7-any)ppwdeming_2.1.0.1.tar.gz(r-4.6-any)
ppwdeming_2.1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ppwdeming/json (API)
NEWS
| # Install 'ppwdeming' in R: |
| install.packages('ppwdeming', repos = c('https://jjkraker.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jjkraker/ppwdeming/issues
Last updated from:a3119e9c41. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 109 | ||
| source / vignettes | OK | 144 | ||
| linux-release-x86_64 | OK | 103 | ||
| macos-release-arm64 | OK | 79 | ||
| macos-oldrel-arm64 | OK | 96 | ||
| windows-devel | OK | 62 | ||
| windows-release | OK | 67 | ||
| windows-oldrel | OK | 62 | ||
| wasm-release | OK | 89 |
Exports:PWD_get_ghPWD_inferencePWD_knownPWD_outlierPWD_resiPWD_RLWD_GeneralWD_Linnet
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimate of Variance Profile Functions (proportional) | PWD_get_gh |
| Weighted Deming Regression - Inference | PWD_inference |
| Weighted Deming Regression - general weights | PWD_known |
| Weighted Deming Regression - Outlier scanning | PWD_outlier |
| Fit Rocke-Lorenzato profile model to residuals | PWD_resi |
| Weighted Deming - Rocke-Lorenzato - known sigma, kappa | PWD_RL |
| Weighted Deming Regression | WD_General |
| Linnet proportional CV weighted Deming | WD_Linnet |
