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: 0.3.2
Depends: R (≥ 3.5.0)
Imports: dplyr, reshape2, ggplot2, tidyr, magrittr, tibble, ggforce
Suggests: testthat, knitr, rmarkdown, covr, patchwork
Published: 2020-07-03
Author: Gorka Navarrete ORCID iD [aut, cre]
Maintainer: Gorka Navarrete <gorkang at gmail.com>
BugReports: https://github.com/gorkang/BayesianReasoning/issues
License: CC0
URL: https://github.com/gorkang/BayesianReasoning
NeedsCompilation: no
Materials: README NEWS
CRAN checks: BayesianReasoning results

Downloads:

Reference manual: BayesianReasoning.pdf
Vignettes: Screening tests and PPV vs NPV
Introduction to BayesianReasoning
Package source: BayesianReasoning_0.3.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release: not available, r-oldrel: BayesianReasoning_0.3.1.tgz
Old sources: BayesianReasoning archive

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