mcr

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".

Last 30 days

This package has been downloaded 2,391 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 89 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 20,036 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Dec 04, 2024 with 234 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.