This function actually does the heavy lifting once we have a matrix of predicted probabilities from a model, plus the vector of observed outcomes. The reason to have it here in a single function is that we don't replicate it in each function that accomodates a JAGS, BUGS, RStan, etc. object.

1 | ```
new_mcmcRocPrc(pred_prob, yvec, curves, fullsims)
``` |

`pred_prob` |
a |

`yvec` |
a |

`curves` |
include curve data in output? |

`fullsims` |
collapse posterior samples into single summary? |

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