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 
[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 |