roc_calc

Internal function used by <code>ggs_autocorrelation</code>.

Tools for assessing and diagnosing convergence of
Markov Chain Monte Carlo simulations, as well as for graphically display
results from full MCMC analysis. The package also facilitates the graphical
interpretation of models by providing flexible functions to plot the
results against observed variables, and functions to work with
hierarchical/multilevel batches of parameters
(Fernández-i-Marín, 2016 <doi:10.18637/jss.v070.i09>).

Xavier i Marín

ggmcmc

Tools for Analyzing MCMC Simulations from Bayesian Inference

Xavier Fernández i Marín

roc_calc function

<dl><dt>R</dt>
<dd>data frame with the 'value' (predicted probability) and the observed 'Outcome'.</dd></dl>

Arguments

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

<dl>

<dt>R</dt>
<dd>data frame with the 'value' (predicted probability) and the observed 'Outcome'.</dd>

</dl>

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

Description

Usage

Value

Arguments

References