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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
DOI: 10.32614/CRAN.package.afdx
Author: John J. Aponte ORCID iD [aut, cre], Orvalho Augusto ORCID iD [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:

Please use the canonical form https://CRAN.R-project.org/package=afdx 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.