refineR

Reference Interval Estimation using Real-World Data

CRAN Package

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.


Documentation


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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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0 downloadsMar 2, 2025
7 downloadsMar 3, 2025
8 downloadsMar 4, 2025
22 downloadsMar 5, 2025
11 downloadsMar 6, 2025
7 downloadsMar 7, 2025
1 downloadsMar 8, 2025
10 downloadsMar 9, 2025
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1 downloadsMar 23, 2025
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14 downloadsMar 25, 2025
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5 downloadsMar 31, 2025
10 downloadsApr 1, 2025
0 downloadsApr 2, 2025
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0 downloadsApr 5, 2025
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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 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.

Data provided by CRAN


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Dependencies

  • Imports3 packages
  • Suggests2 packages