Package: mcr Version: 1.3.3.1 Date: 2023-10-04 Title: Method Comparison Regression Maintainer: Sergej Potapov Authors@R: c( person("Sergej", "Potapov", , "sergej.potapov@roche.com", role = c("aut", "cre"), comment=c(ORCID="0009-0002-6251-0279")), person("Fabian", "Model", , , 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 = "0000-0001-6467-8556")), person("Jakob", "Raymaekers", ,"jakob.raymaekers@kuleuven.com", role = c("aut"), comment=c(ORCID="0000-0002-2093-3137")), person(given = "Venkatraman E.", family = "Seshan", role = c("ctb"), email = "seshanv@mskcc.org"), person("Roche", role = c("cph", "fnd")) ) Copyright: This package includes code from the 'clinfun' library owned by Ventatraman E. Seshan (ktau.r and ktau.f). Depends: R (>= 3.0.0), parallel, robslopes Imports: stats, graphics, grDevices, methods Description: 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, ) 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, ) and J. Raymaekers and F. Dufey (2022, ). A comprehensive overview over the implemented methods and references can be found in the manual pages "mcr-package" and "mcreg". License: GPL (>= 3) Collate: "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" "ktau.r" RoxygenNote: 7.2.3 LazyData: true NeedsCompilation: yes Packaged: 2026-06-23 14:54:51 UTC; root Author: Sergej Potapov [aut, cre] (), Fabian Model [aut], Andre Schuetzenmeister [aut] (), Ekaterina Manuilova [aut], Florian Dufey [aut] (), Jakob Raymaekers [aut] (), Venkatraman E. Seshan [ctb], Roche [cph, fnd] Repository: https://cran.r-universe.dev Date/Publication: 2024-09-24 03:02:17 UTC RemoteUrl: https://github.com/cran/mcr RemoteRef: HEAD RemoteSha: 3d72540bf23a60eb7980ffb58da0f173f749a61c