[aut, cre]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
[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 |
| 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: BayesianReasoning_0.3.2.zip, r-release: BayesianReasoning_0.3.2.zip, r-oldrel: BayesianReasoning_0.3.2.zip |
| macOS binaries: | r-release: BayesianReasoning_0.3.2.tgz, r-oldrel: BayesianReasoning_0.3.2.tgz |
| Old sources: | BayesianReasoning archive |
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