Description Usage Arguments Value

Transforms posterior probabilities to logits, fits a logistic regression model and returns the predictive probabilities from this model.

1 | ```
recalibrate.p(y, posterior.p)
``` |

`y` |
Binary outcome label (0 for controls, 1 for cases). |

`posterior.p` |
Vector of posterior probabilities. |

Recalibrated posterior probabilities.

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