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 |
|
---|---|
Author | Sergej 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] |
Maintainer | Sergej Potapov <sergej.potapov@roche.com> |
License | GPL (>= 3) |
Version | 1.3.3.1 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.