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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. AponteORCID iD [aut, cre], Orvalho AugustoORCID 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.html ,afdx.pdf
Vignettes:Attributable fraction using a logitexponetial model (source,R code)
Attributable fraction using a latent class model (source,R code)

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 formhttps://CRAN.R-project.org/package=afdxto link to this page.


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