BayesianReasoning: Plot Positive and Negative Predictive Values for Medical Tests

Functions to plot and help understand positive and negative predictive values (PPV and NPV), and their relationship with sensitivity, specificity, and prevalence. See Akobeng, A.K. (2007) <doi:10.1111/j.1651-2227.2006.00180.x> for a theoretical overview of the technical concepts and Navarrete et al. (2015) for a practical explanation about the importance of their understanding <doi:10.3389/fpsyg.2015.01327>.

Version: 0.4.2
Depends: R (≥ 3.5.0)
Imports: cli, dplyr, ggforce (≥ 0.4.0), ggplot2, ggtext, gt, magrittr, png, reshape2, scales, stats, tibble, tidyr
Suggests: curl, httr, knitr, patchwork, purrr, rmarkdown, testthat (≥ 3.0.0), vdiffr, webshot2
Published: 2023-11-14
DOI: 10.32614/CRAN.package.BayesianReasoning
Author: Gorka Navarrete ORCID iD [aut, cre]
Maintainer: Gorka Navarrete <gorkang at>
License: CC0
NeedsCompilation: no
Materials: README NEWS
CRAN checks: BayesianReasoning results


Reference manual: BayesianReasoning.pdf
Vignettes: Screening tests and PPV vs NPV
Introduction to BayesianReasoning


Package source: BayesianReasoning_0.4.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BayesianReasoning_0.4.2.tgz, r-oldrel (arm64): BayesianReasoning_0.4.2.tgz, r-release (x86_64): BayesianReasoning_0.4.2.tgz, r-oldrel (x86_64): BayesianReasoning_0.4.2.tgz
Old sources: BayesianReasoning archive


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