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 2,798 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 114 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 19,228 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! 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.