afdx-package: afdx: Diagnosis performance indicators from attributable...

In afdx: Diagnosis Performance Using Attributable Fraction

Description

The afdx package provides functions to estimate the attributable fraction using logit exponential model or bayesian latent class model.

The logit exponential model

The logitexp function estimated the logit exponential function fitting a maximum likelihood model. The senspec() function estimate the sensitivity, specificity, positive predicted value and negative predicted values for the specified cut-off points.

The bayesian latent class model

The get_latent_model() provides an rjags model template to estimate the attributable fraction and the sensitivity, specificity, positive predicted value and negative predicted value of the latent class model.

@docType package @name afdx

Author(s)

Maintainer: John J. Aponte [e-mail] (ORCID)

Authors:

• Orvalho Augusto [e-mail] (ORCID)

See Also

Useful links:

• https://github.com/johnaponte/afdx

afdx documentation built on May 25, 2021, 5:09 p.m.