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>.
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