Type: Package
Package: RIbench
Version: 1.0.2
Date: 2022-11-25
Title: Benchmark Suite for Indirect Methods for RI Estimation
Author: Tatjana Ammer [aut, cre],
  Christopher Rank [aut],
  Andre Schuetzenmeister [aut]
Maintainer: Tatjana Ammer <tatjana.ammer@roche.com>
Authors@R: c(
	person(given ="Tatjana", family ="Ammer", email ="tatjana.ammer@roche.com", role =c("aut", "cre")),
	person(given ="Christopher", family = "Rank", email ="christopher.rank@roche.com", role ="aut"),
	person(given ="Andre", family ="Schuetzenmeister", email ="andre.schuetzenmeister@roche.com", role ="aut"))
Depends: R (>= 3.3.0)
Imports: stats, optparse, digest, data.table, graphics, grDevices,
        RColorBrewer
Suggests: knitr, rmarkdown
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>.  
License: GPL (>= 3)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2022-11-25 15:10:44 UTC; ammert
Repository: CRAN
Date/Publication: 2022-11-27 17:40:02 UTC
Built: R 4.6.0; ; 2025-11-13 03:21:26 UTC; windows
