ggmcmc: roc_calc – R documentation

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roc_calc

Calculate the ROC curve for a set of observed outcomes and predicted probabilities

Description

Internal function used by ggs_autocorrelation.

Usage

roc_calc(R)

Arguments

`R`	data frame with the 'value' (predicted probability) and the observed 'Outcome'.

Value

A data frame with the Sensitivity and the Specificity.

References

Fernández-i-Marín, Xavier (2016) ggmcmc: Analysis of MCMC Samples and Bayesian Inference. Journal of Statistical Software, 70(9), 1-20. doi:10.18637/jss.v070.i09

ggmcmc

Tools for Analyzing MCMC Simulations from Bayesian Inference

v1.5.1.1

GPL-2

Authors

Xavier Fernández i Marín [aut, cre] (<https://orcid.org/0000-0002-9522-8870>)

Initial release