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This R-package help on the estimation of diagnosis performance(Sensitivity, Specificity, Positive predictive value, Negative predicted value)of a diagnostic test where the golden standard can't be measured but can beestimated using the attributable fraction

Two methods are presented with examples for Malaria diagnosis, using a maximumlikelihood estimated logistic exponential model and using a bayesian latentclass model.

To install the package from github use:

devtools::install_github("johnaponte/afdx", build_manual = T, build_vignettes = T)