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 |
| 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.html ,afdx.pdf |
| Vignettes: | Attributable fraction using a logitexponetial model (source,R code) Attributable fraction using a latent class model (source,R code) |
| 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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