afdx: Diagnosis Performance Using Attributable Fraction
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 |
| 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 |
Documentation:
| Reference manual: | afdx.pdf |
| Vignettes: |
Attributable fraction using a logitexponetial model Attributable fraction using a latent class model |
Downloads:
| 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 |
Linking:
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