API for andrew-mcinerney/statnn
Interpreting Neural Networks From a Statistical Perspective
| Global functions | |
|---|---|
| %>% | Man page |
| Boston | Man page |
| VC | Source code |
| coef.interpretnn | Source code |
| covariate_eff | Source code |
| covariate_eff_pce | Source code |
| delta_method | Source code |
| delta_method_pce | Source code |
| hessian | Source code |
| interpretnn | Man page Source code |
| interpretnn.ANN | Man page Source code |
| interpretnn.deepregression | Source code |
| interpretnn.default | Man page Source code |
| interpretnn.keras.engine.training.Model | Man page Source code |
| interpretnn.luz_module_fitted | Man page Source code |
| interpretnn.nn | Man page Source code |
| interpretnn.nnet | Man page Source code |
| interpretnn.selectnn | Man page Source code |
| lr_test | Source code |
| mlesim | Source code |
| nn_fit | Man page Source code |
| nn_fit.default | Man page Source code |
| nn_fit.formula | Man page Source code |
| nn_fit_nnet | Source code |
| nn_grad | Man page Source code |
| nn_grad_1 | Source code |
| nn_loglike | Man page Source code |
| nn_loss | Man page Source code |
| nn_pred | Man page Source code |
| pce | Man page Source code |
| plot.interpretnn | Source code |
| plotci | Man page Source code |
| plotnn | Man page |
| print.interpretnn | Source code |
| sigmoid | Source code |
| statnn,ANY-method | Man page |
| statnn,keras.engine.training.Model-method | Man page |
| statnn-methods | Man page |
| summary.interpretnn | Source code |
| wald_test | Source code |
