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ppwdeming

3.0.2

Precision Profile Weighted Deming Regression

0packages depend
4.9Kdownloads / year
0.0%test coverage
13/13checks pass

Overview

About
Maintained by Jessica J. KrakerFirst published 2025-09-094 releasesCRAN page ↗

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. Weighted Deming regression is also now implemented for multiple instruments , as set out in Hawkins, D.M., and J.J. Kraker (2026). 'Multiple Instrument Methods Comparison by Precision weighted Deming Regression', on Arxiv doi:10.48550/arXiv.2607.11776. The “multi” functions refer to the multiple instrument analysis, and the "PWD" functions refer to the two-instrument.

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.01
0.0%
Coverage · measured lines
100%
Documentation · exports
1
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 144 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
65%

Downloads

4.9K
CRAN downloads in the past year
Rank #10,330 · ~13/day · ~407/mo
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14130 days
95490 days
4.9K1 year
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Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6.0
Imports (1)
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LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Author, Copyright holder
Copyright holders (1)
Author, Copyright holder
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 3.0.2Latest
    2026-07-23 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 2.1.0
    2026-03-16 · diff ↗
  • 2.0.0
    2026-01-09 · diff ↗
  • 1.0.6
    2025-09-09
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-09-09
Total releases
4 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.6.0
Download size
18 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ppwdeming")
Kraker, J. J., & Hawkins, D. M. (2026). ppwdeming: Precision Profile Weighted Deming Regression (Version 3.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ppwdeming

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ppwdeming version 3.0.2 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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