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 T., Schuetzenmeister A., Prokosch H.-U., Rauh M., Rank C.M., Zierk J. "refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data". Scientific Reports (2021) <doi:10.1038/s41598-021-95301-2>.

Version: 1.5.0
Depends: R (≥ 3.2.0)
Imports: stats, ash, future, future.apply, parallel, graphics, grDevices
Published: 2022-06-03
Author: Tatjana Ammer [aut, cre], Christopher M Rank [aut], Andre Schuetzenmeister [aut]
Maintainer: Tatjana Ammer <tatjana.ammer at roche.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: NEWS
CRAN checks: refineR results

Documentation:

Reference manual: refineR.pdf

Downloads:

Package source: refineR_1.5.0.tar.gz
Windows binaries: r-devel: refineR_1.5.0.zip, r-release: refineR_1.5.0.zip, r-oldrel: refineR_1.5.0.zip
macOS binaries: r-release (arm64): refineR_1.5.0.tgz, r-oldrel (arm64): refineR_1.5.0.tgz, r-release (x86_64): refineR_1.5.0.tgz, r-oldrel (x86_64): refineR_1.5.0.tgz
Old sources: refineR archive

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