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RIbench  

Benchmark Suite for Indirect Methods for RI Estimation
View on CRAN: Click here


Download and install RIbench package within the R console
Install from CRAN:
install.packages("RIbench")

Install from Github:
library("remotes")
install_github("cran/RIbench")

Install by package version:
library("remotes")
install_version("RIbench", "1.0.2")



Attach the package and use:
library("RIbench")
Maintained by
Tatjana Ammer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-29
Latest Update: 2022-11-27
Description:
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>.
How to cite:
Tatjana Ammer (2022). RIbench: Benchmark Suite for Indirect Methods for RI Estimation. R package version 1.0.2, https://cran.r-project.org/web/packages/RIbench
Previous versions and publish date:
1.0.0 (2022-08-29 11:20), 1.0.1 (2022-09-17 21:56)
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