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 242 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
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Last 365 days
This package has been downloaded 3,715 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 21, 2024 with 142 downloads.
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Dependencies
- Imports3 packages
- Suggests2 packages