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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 |
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 |
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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.
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