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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 |
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: BayesianReasoning_0.4.2.zip, r-release: BayesianReasoning_0.4.2.zip, r-oldrel: BayesianReasoning_0.4.2.zip |
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 |
Please use the canonical form https://CRAN.R-project.org/package=BayesianReasoning to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.