The provided benchmark suite enables the automated evaluation and comparison of any existing and novel indirect method for reference interval ('RI') estimation in a systematic way. Indirect methods take routine measurements of diagnostic tests, containing pathological and non-pathological samples as input and use sophisticated statistical methods to derive a model describing the distribution of the non-pathological samples, which can then be used to derive reference intervals. The benchmark suite contains 5,760 simulated test sets with varying difficulty. To include any indirect method, a custom wrapper function needs to be provided. The package offers functions for generating the test sets, executing the indirect method and evaluating the results. See ?RIbench or vignette("RIbench_package") for a more comprehensive description of the features. A detailed description and application is described in Ammer T., Schuetzenmeister A., Prokosch H.-U., Zierk J., Rank C.M., Rauh M. "RIbench: A Proposed Benchmark for the Standardized Evaluation of Indirect Methods for Reference Interval Estimation". Clinical Chemistry (2022) <doi:10.1093/clinchem/hvac142>.
Version: 1.0.2 Depends: R (≥ 3.3.0) Imports: stats, optparse, digest, data.table, graphics, grDevices, RColorBrewer Suggests: knitr, rmarkdown Published: 2022-11-27 DOI: 10.32614/CRAN.package.RIbench Author: Tatjana Ammer [aut, cre], Christopher Rank [aut], Andre Schuetzenmeister [aut] Maintainer: Tatjana Ammer <tatjana.ammer at roche.com> License: GPL (≥ 3) NeedsCompilation: no Materials: NEWS CRAN checks: RIbench results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=RIbench to link to this page.
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