Man pages for D2C
Predicting Causal Direction from Dependency Features
| alarm | Alarm dataset |
| BER | Balanced Error Rate |
| compute-DAG.network-method | compute N samples according to the network distribution |
| D2C-class | An S4 class to store the RF model trained on the basis of the... |
| DAG.network-class | An S4 class to store DAG.network |
| dataset | Dataset of the Alarm benchmark |
| descriptor | compute descriptor |
| example | stored D2C object |
| initialize-D2C.descriptor-method | creation of a D2C.descriptor |
| initialize-D2C-method | creation of a D2C object which preprocesses the list of DAGs... |
| initialize-DAG.network-method | creation of a DAG.network |
| initialize-simulatedDAG-method | creation of a "simulatedDAG" containing a list of DAGs and... |
| mimr | mIMR (minimum Interaction max Relevance) filter |
| predict-D2C-method | predict if there is a connection between node i and node j |
| simulatedDAG-class | An S4 class to store a list of DAGs and associated... |
| true.net | Adjacency matrix of the Alarm dataset |
| updateD2C-D2C-method | update of a "D2C" with a list of DAGs and associated... |
| update-simulatedDAG-method | update of a "simulatedDAG" with a list of DAGs and associated... |
