predict_GUESS {CalibratR} | R Documentation |

## predict_GUESS

### Description

returns calibrated predictions for the instances `new`

using the trained GUESS calibration model `build_guess_object`

.
Two different evaluation methods are available.
Method 1: returns the p-value for the score `new`

under the distribution that is handed over in the `build_guess_object`

Method 2: returns the probability density value for the score `new`

under the distribution that is handed over in the `build_guess_object`

### Usage

```
predict_GUESS(build_guess_object, new, density_evaluation = 2,
return_class_density = FALSE)
```

### Arguments

`build_guess_object` |
output from the |

`new` |
vector of uncalibrated probabilities |

`density_evaluation` |
which density evaluation method should be used to infer calculate probabilities, Default: 2 |

`return_class_density` |
if set to TRUE, class densities p(x|class) are returned, Default: FALSE |

### Details

`dens_case`

and `dens_control`

are only returned when `return_class_density`

is set to TRUE

### Value

a list object containing the following components:

`predictions` |
contains a vector of calibrated predictions |

`pred_idx` |
which density evaluation method was used |

`significance_test_set` |
the percentage of |

`dens_case` |
a vector containing the p(x|case) values |

`dens_control` |
a vector containing the p(x|control) values |

*CalibratR*version 0.1.2 Index]