Package: ppwdeming
Version: 2.1.0
Date: 2026-3-15
Title: Precision Profile Weighted Deming Regression
Authors@R: c(person("Douglas M.", "Hawkins", role = c("aut", "cph")),
              person("Jessica J.", "Kraker", role = c("aut", "cre"),
                     email = "krakerjj@uwec.edu"))
Author: Douglas M. Hawkins [aut, cph],
  Jessica J. Kraker [aut, cre]
Maintainer: Jessica J. Kraker <krakerjj@uwec.edu>
Depends: R (>= 3.6.0)
Suggests: testthat (>= 3.0.0)
Imports: stats
Description: 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. 
    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>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.2
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-03-15 21:58:49 UTC; jjkra
Repository: CRAN
Date/Publication: 2026-03-15 22:20:02 UTC
Built: R 4.6.0; ; 2026-04-27 00:24:58 UTC; unix
