Man pages for deeptrafo
Fitting Deep Conditional Transformation Models
| atm_init | Initializes the Processed Additive Predictor for ATMs |
| BoxCoxNN | BoxCox-type neural network transformation models |
| ColrNN | Deep continuous outcome logistic regression |
| cotramNN | Deep distribution-free count regression |
| CoxphNN | Cox proportional hazards type neural network transformation... |
| dctm | Deep conditional transformation models with alternative... |
| deeptrafo | Deep Conditional Transformation Models |
| ensemble.deeptrafo | Deep ensembling for neural network transformation models |
| from_preds_to_trafo | Define Predictor of Transformation Model |
| h1_init | Initializes the Processed Additive Predictor for TM's... |
| LehmanNN | Lehmann-type neural network transformation models |
| LmNN | Deep normal linear regression |
| methodTrafo | S3 methods for deep conditional transformation models |
| nll | Generic negative log-likelihood for transformation models |
| ontram | Ordinal neural network transformation models |
| plot.deeptrafo | Plot method for deep conditional transformation models |
| PolrNN | Deep (proportional odds) logistic regression |
| SurvregNN | Deep parametric survival regression |
| trafo_control | Options for transformation models |
| trafoensemble | Transformation ensembles |
| weighted_logLik | Tune and evaluate weighted transformation ensembles |
