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 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-release (x86_64): afdx_1.1.1.tgz, r-oldrel: afdx_1.1.1.tgz

Linking:

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