atm_init |
Initializes the Processed Additive Predictor for ATMs |

BoxCoxNN |
BoxCox-type neural network transformation models |

coef.deeptrafo |
Generic methods for neural network transformation models |

ColrNN |
Deep continuous outcome logistic regression |

cotramNN |
Deep distribution-free count regression |

CoxphNN |
Cox proportional hazards type neural network transformation models |

dctm |
Deep conditional transformation models with alternative formula interface |

deeptrafo |
Deep Conditional Transformation Models |

ensemble.deeptrafo |
Deep ensembling for neural network transformation models |

fitted.deeptrafo |
Generic methods for neural network transformation models |

from_preds_to_trafo |
Define Predictor of Transformation Model |

h1_init |
Initializes the Processed Additive Predictor for TM's Interaction |

LehmanNN |
Lehmann-type neural network transformation models |

LmNN |
Deep normal linear regression |

logLik.deeptrafo |
Generic methods for neural network transformation models |

nll |
Generic negative log-likelihood for transformation models |

ontram |
Ordinal neural network transformation models |

plot.deeptrafo |
Generic methods for neural network transformation models |

PolrNN |
Deep (proportional odds) logistic regression |

predict.deeptrafo |
Generic methods for neural network transformation models |

print.deeptrafo |
Generic methods for neural network transformation models |

simulate.deeptrafo |
Generic methods for neural network transformation models |

summary.deeptrafo |
Generic methods for neural network transformation models |

SurvregNN |
Deep parametric survival regression |

trafo_control |
Options for transformation models |