Description Usage Arguments See Also Examples

Returns calibrated probabilities from calib$model, where calib is obtained by calling the `beta_calibration`

function.

1 | ```
beta_predict(p, calib)
``` |

`p` |
A vector of probabilities that the model will calibrate. |

`calib` |
A list containing a calibration map, a calibration model and the fitted parameters, obtained by calling the |

1 2 3 4 5 6 7 8 9 10 11 | ```
## Creating a vector of probabilities
p <- seq(0.01,0.99,0.01)
## Creating a label vector based on the probability vector
y <- rbinom(99,1,p)
## Fitting beta calibration with three parameters
calib <- beta_calibration(p, y, "abm")
## Obtaining calibrated probabilities
probas <- beta_predict(p, calib)
``` |

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