Regression methods to quantify the relation between two measurement methods. In particular it addresses regression problems with errors in both variables and without repeated measurements. The package provides implementations of Deming regression, weighted Deming regression, and Passing-Bablok regression following the CLSI EP09-A3 recommendations for analytical method comparison and bias estimation using patient samples.

c(
person("Sergej", "Potapov", , "sergej.potapov@roche.com", role = c("aut", "cre")),
person("Fabian", "Model", , "fabian.model@roche.com", role = c("aut")),
person("Andre", "Schuetzenmeister", , "andre.schuetzenmeister@roche.com", role = c("aut"),comment=c(ORCID="0000-0002-2964-5502")),
person("Ekaterina", "Manuilova", , "ekaterina.manuilova@roche.com", role = c("aut")),
person("Florian", "Dufey", , "florian.dufey@roche.com", role = c("aut"),comment = c(ORCID = "0000-0003-4198-9911")),
person("Jakob","Raymaekers", ,"jakob.raymaekers@kuleuven.com", role = c("aut"),comment=c(ORCID="0000-0002-2093-3137")),
person("Roche", role = c("cph", "fnd"))
)
Regression methods to quantify the relation between two measurement
methods are provided by this package. In particular it addresses regression
problems with errors in both variables and without repeated measurements. It
implements the CLSI recommendations (see J. A. Budd et al.
(2018, <https://clsi.org/standards/products/method-evaluation/documents/ep09/>)
for analytical method comparison and bias estimation using patient samples.
Furthermore, algorithms for Theil-Sen and equivariant Passing-Bablok estimators
are implemented, see F. Dufey (2020, <doi:10.1515/ijb-2019-0157>) and
J. Raymaekers and F. Dufey (2022, <arXiv:2202:08060>).
A comprehensive overview over the implemented methods and references can be found
in the manual pages "mcr-package" and "mcreg".
"mcrMisc.r" "mcLinReg.r" "mcDeming.r" "mcWDeming.r"
"mcPaBaLarge.r" "mcPaBa.r" "mcPBequi.r" "mcCalcCI.r"
"mcCalcTstar.r" "mcBootstrap.r" "MCResultMethods.r"
"MCResult.r" "MCResultAnalyticalMethods.r"
"MCResultAnalytical.r" "MCResultJackknifeMethods.r"
"MCResultJackknife.r" "MCResultResamplingMethods.r"
"MCResultResampling.r" "MCResultBCaMethods.r" "MCResultBCa.r"
"mcrInterface.r" "mcrCompareFit.r" "mcrIncludeLegend.r" "zzz.r"
Sergej Potapov [aut, cre],
Fabian Model [aut],
Andre Schuetzenmeister [aut] (<https://orcid.org/0000-0002-2964-5502>),
Ekaterina Manuilova [aut],
Florian Dufey [aut] (<https://orcid.org/0000-0003-4198-9911>),
Jakob Raymaekers [aut] (<https://orcid.org/0000-0002-2093-3137>),
Roche [cph, fnd]