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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 |
DOI: | 10.32614/CRAN.package.refineR |
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 |
Reference manual: | refineR.pdf |
Vignettes: |
refineR: Reference Interval Estimation using Real-World Data (RWD) |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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