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. The method 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) [accepted July 21, 2021].

Version: 1.0.0
Depends: R (≥ 3.2.0)
Imports: stats, ash, future, future.apply, parallel, graphics, grDevices
Published: 2021-08-02
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
CRAN checks: refineR results

Documentation:

Reference manual: refineR.pdf

Downloads:

Package source: refineR_1.0.0.tar.gz
Windows binaries: r-devel: refineR_1.0.0.zip, r-release: refineR_1.0.0.zip, r-oldrel: refineR_1.0.0.zip
macOS binaries: r-release (arm64): refineR_1.0.0.tgz, r-release (x86_64): refineR_1.0.0.tgz, r-oldrel: refineR_1.0.0.tgz

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