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ppwdeming  

Precision Profile Weighted Deming Regression
View on CRAN: Click here


Download and install ppwdeming package within the R console
Install from CRAN:
install.packages("ppwdeming")

Install from Github:
library("remotes")
install_github("cran/ppwdeming")

Install by package version:
library("remotes")
install_version("ppwdeming", "3.0.2")



Attach the package and use:
library("ppwdeming")
Maintained by
Jessica J. Kraker
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-09
Latest Update: 2025-09-09
Description:
Weighted Deming regression, also known as "errors-in-variable" regression, is applied with suitable weights. Weights are modeled via a precision profile; functions are provided for implementing it in both known and unknown precision profile situations. The package provides tools for precision profile weighted Deming (PWD) regression. It 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 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. Further information on mathematical derivations and applications can be found on arXiv: Hawkins and Kraker (2025) <doi:10.48550/arXiv.2508.02888>.
How to cite:
Jessica J. Kraker (2025). ppwdeming: Precision Profile Weighted Deming Regression. R package version 3.0.2, https://cran.r-project.org/web/packages/ppwdeming. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-23 16:00), 1.0.6 (2025-09-09 16:20), 2.0.0 (2026-01-09 23:10), 2.1.0 (2026-03-15 23:20)
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Complete documentation for ppwdeming
Functions, R codes and Examples using the ppwdeming R package
Full ppwdeming package functions and examples
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