| ae_rwnn | Auto-encoder pre-trained random weight neural networks |
| ae_rwnn.formula | Auto-encoder pre-trained random weight neural networks |
| bag_rwnn | Bagging random weight neural networks |
| bag_rwnn.formula | Bagging random weight neural networks |
| boost_rwnn | Boosting random weight neural networks |
| boost_rwnn.formula | Boosting random weight neural networks |
| classify | Classifier |
| control_rwnn | rwnn control function |
| ed_rwnn | Ensemble deep random weight neural networks |
| ed_rwnn.formula | Ensemble deep random weight neural networks |
| ERWNN-object | An ERWNN-object |
| example_data | Example data |
| predict.ERWNN | Predicting targets of an ERWNN-object |
| predict.RWNN | Predicting targets of an RWNN-object |
| reduce_network | Reduce the weights of a random weight neural network. |
| reduce_network.ERWNN | Reduce the weights of a random weight neural network. |
| reduce_network.RWNN | Reduce the weights of a random weight neural network. |
| rwnn | Random weight neural networks |
| RWNN-object | An RWNN-object |
| rwnn.formula | Random weight neural networks |
| stack_rwnn | Stacking random weight neural networks |
| stack_rwnn.formula | Stacking random weight neural networks |