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Estimate diagnosis performance (Sensitivity, Specificity, Positive predictive value, Negative predicted value) of a diagnostic test where can not measure the golden standard but can estimate it using the attributable fraction.
Version: | 1.1.1 |
Depends: | R (≥ 3.5.0) |
Imports: | maxLik, dplyr, magrittr, tidyr |
Suggests: | knitr, rmarkdown, ggplot2, DescTools, kableExtra, coda, rjags, ggmcmc, spelling, testthat (≥ 3.0.0) |
Published: | 2021-05-25 |
DOI: | 10.32614/CRAN.package.afdx |
Author: | John J. Aponte [aut, cre], Orvalho Augusto [aut] |
Maintainer: | John J. Aponte <john.j.aponte at gmail.com> |
License: | GPL (≥ 3) |
URL: | https://github.com/johnaponte/afdx |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | afdx results |
Reference manual: | afdx.pdf |
Vignettes: |
Attributable fraction using a logitexponetial model Attributable fraction using a latent class model |
Package source: | afdx_1.1.1.tar.gz |
Windows binaries: | r-devel: afdx_1.1.1.zip, r-release: afdx_1.1.1.zip, r-oldrel: afdx_1.1.1.zip |
macOS binaries: | r-release (arm64): afdx_1.1.1.tgz, r-oldrel (arm64): afdx_1.1.1.tgz, r-release (x86_64): afdx_1.1.1.tgz, r-oldrel (x86_64): afdx_1.1.1.tgz |
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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.