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>.

Version:	1.6.1
Depends:	R (≥ 3.2.0)
Imports:	stats, ash, future, future.apply, parallel, graphics, grDevices
Suggests:	knitr, rmarkdown
Published:	2023-11-14
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
Vignettes:	refineR: Reference Interval Estimation using Real-World Data (RWD)

Downloads:

Package source:	refineR_1.6.1.tar.gz
Windows binaries:	r-devel: refineR_1.6.1.zip, r-release: refineR_1.6.1.zip, r-oldrel: refineR_1.6.1.zip
macOS binaries:	r-release (arm64): refineR_1.6.1.tgz, r-oldrel (arm64): refineR_1.6.1.tgz, r-release (x86_64): refineR_1.6.1.tgz, r-oldrel (x86_64): refineR_1.6.1.tgz
Old sources:	refineR archive

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