Man pages for aruaud/endoR
Interpret and Visualize Stable Tree Ensemble Models
| aggregateTaxa | Aggregate taxa according to a measure. |
| changeDecisionsDummies | Takes decisions and modifies them so that only one level of a... |
| compatibleNames | Transform character strings to be compatible with endoR... |
| decisionImportance | Compute the importance of decisions |
| decisions2FullDummy | Transform all variables in a decision ensemble into dummy... |
| discretizeData | Discretize numerical variables in a dataset |
| discretizeData_model | Discretize numerical variables in a dataset based on... |
| discretizeDecisions | Discretize numerical variables in decision ensemble |
| endoR | endoR |
| evaluateAlpha | Calculate the number fo decisions and of predicted samples... |
| featureImportance | Calculate the feature importances from a decision ensemble |
| filterDecisionsImportances | Filter decisions according to their metrics |
| getDecisionsMetrics | Measure the error, prediction and importance of decisions |
| getNetwork | Transform a decision ensemble into a network |
| getThresholds | Get thresholds to discretize variables according to their... |
| model2DE | Extract a decision ensemble from a tree-based model, simplify... |
| model2DE_cluster | Run model2DE on several bootstrap resamples in parallel. |
| model2DE_resampling | Run model2DE on several bootstrap resamples. |
| plotFeatures | Plot the importance and influence of features. |
| plotNetwork | Plot an interaction variable network. |
| preCluster | Extract decisions from a model and create bootstrap... |
| pruneDecisions | Prune rules of a decision ensemble |
| stabilitySelection | Obtain a stable decision ensemble |
| titanic | This is data to be included in my package |
