mcr: Method Comparison Regression

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".

Package details

AuthorSergej Potapov [aut, cre] (<https://orcid.org/0009-0002-6251-0279>), Fabian Model [aut], Andre Schuetzenmeister [aut] (<https://orcid.org/0000-0002-2964-5502>), Ekaterina Manuilova [aut], Florian Dufey [aut] (<https://orcid.org/0000-0001-6467-8556>), Jakob Raymaekers [aut] (<https://orcid.org/0000-0002-2093-3137>), Venkatraman E. Seshan [ctb], Roche [cph, fnd]
MaintainerSergej Potapov <sergej.potapov@roche.com>
LicenseGPL (>= 3)
Version1.3.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mcr")

Try the mcr package in your browser

Any scripts or data that you put into this service are public.

mcr documentation built on Oct. 11, 2023, 5:14 p.m.