refineR
Reference Interval Estimation using Real-World Data
Indirect method for the estimation of reference intervals using Real-World Data ('RWD'). It takes routine measurements of diagnostic tests, containing pathological and non-pathological samples as input and uses sophisticated statistical methods to derive a model describing the distribution of the non-pathological samples. This distribution can then be used to derive reference intervals. Furthermore, the package offers functions for printing and plotting the results of the algorithm. See ?refineR for a more comprehensive description of the features. Version 1.0 of the algorithm is described in detail in 'Ammer et al. (2021)' doi:10.1038/s41598-021-95301-2. Additional guidance on the usage of the algorithm is given in 'Ammer et al. (2023)' doi:10.1093/jalm/jfac101.
- Version1.6.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Ammer et al. (2021)
- Ammer et al. (2023)
- Last release08/21/2024
Documentation
Team
Tatjana Ammer
Andre Schuetzenmeister
Show author detailsRolesAuthorChristopher M Rank
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 267 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
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Last 365 days
This package has been downloaded 3,724 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 142 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.
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Dependencies
- Imports3 packages
- Suggests2 packages