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; 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>.

Getting started

Package details

AuthorDouglas M. Hawkins [aut], Jessica J. Kraker [aut, cre]
MaintainerJessica J. Kraker <krakerjj@uwec.edu>
LicenseGPL (>= 3)
Version1.0.6
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ppwdeming")

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ppwdeming documentation built on Sept. 9, 2025, 5:37 p.m.