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: |
1.6.2 |
| Depends: |
R (≥ 3.2.0) |
| Imports: |
stats, ash, future, future.apply, parallel, graphics, grDevices |
| Suggests: |
knitr, rmarkdown |
| Published: |
2024-08-21 |
| 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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=refineR
to link to this page.