symptomcheckR: Analyzing and Visualizing Symptom Checker Performance

Easily analyze and visualize the performance of symptom checkers. This package can be used to gain comprehensive insights into the performance of single symptom checkers or the performance of multiple symptom checkers. It can be used to easily compare these symptom checkers across several metrics to gain an understanding of their strengths and weaknesses. The metrics are developed in Kopka et al. (2023) <doi:10.1177/20552076231194929>.

Version: 0.1.3
Depends: R (≥ 3.5.0)
Imports: dplyr (≥ 1.0.0), ggplot2 (≥ 3.2.0), ggpubr (≥ 0.6.0), tidyr (≥ 1.3.0), irr (≥ 0.84.1)
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-04-16
Author: Marvin Kopka ORCID iD [cre, aut], Malte L. Schmieding ORCID iD [aut], Markus A. Feufel ORCID iD [aut]
Maintainer: Marvin Kopka <marvin.kopka at tu-berlin.de>
BugReports: https://github.com/ma-kopka/symptomcheckR/issues
License: GPL-3
URL: https://github.com/ma-kopka/symptomcheckR
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: symptomcheckR results

Documentation:

Reference manual: symptomcheckR.pdf

Downloads:

Package source: symptomcheckR_0.1.3.tar.gz
Windows binaries: r-prerel: symptomcheckR_0.1.3.zip, r-release: symptomcheckR_0.1.3.zip, r-oldrel: symptomcheckR_0.1.3.zip
macOS binaries: r-prerel (arm64): symptomcheckR_0.1.3.tgz, r-release (arm64): symptomcheckR_0.1.3.tgz, r-oldrel (arm64): symptomcheckR_0.1.3.tgz, r-prerel (x86_64): symptomcheckR_0.1.3.tgz, r-release (x86_64): symptomcheckR_0.1.3.tgz
Old sources: symptomcheckR archive

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