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RIbench
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.RIbench . RIbench results . RIbench.pdf . RIbench: Benchmark Suite for the Standardized Evaluation of Indirect Methods for Reference Interval Estimation . RIbench_1.0.2.tar.gz . RIbench_1.0.2.zip . RIbench_1.0.2.zip . RIbench_1.0.2.zip . RIbench_1.0.2.tgz . RIbench_1.0.2.tgz . RIbench_1.0.2.tgz . RIbench_1.0.2.tgz . RIbench_1.0.2.tgz . RIbench_1.0.2.tgz . RIbench archive . https://CRAN.R-project.org/package=RIbench .
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) .
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. Accessed 16 Mar. 2025.
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Other R packages that RIbench depends,
imports, suggests or enhances
Complete documentation for RIbench
Functions, R codes and Examples using
the RIbench R package
Some associated functions: BoxCox . RIbench-Package . addGrid . as.rgb . computeDirect . computePerfMeas . computePerfMeasAll . computeRIs . computeRIsAll . computeRuntimeAll . computeSubResults . defineSubset . evaluateAlgorithmResults . evaluateBiomarkerTestSets . formatNumber . generateBiomarkerTestSets . generateBoxPlotOneAnalyte . generateBoxplotsDistTypes . generateBoxplotsMultipleCats . generateDataFiles . generateMD5 . generateScatterplotsAll . getBenchmarkResults . getRI . getRIsAllwithoutModel . getRuntime . getSubset . getSubsetForDefinedCats . invBoxCox . loadTestsetDefinition . mergeAnalytes . mergeSummaryErrors . plotBarplot . plotBoxplot . plotScatterplot . print.RWDRI . progressInd . readResultFiles . readResultFilesAll . readResultsAndComputeErrors . restrictSet . runDirectMethod . runTC_usingRscript . setupDirStructure . writeResFile .
Some associated R codes: evaluateResults.R . evaluateTestSets.R . generateData.R . plot.R . utils.R . Full RIbench package functions and examples
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