Man pages for ocf
Ordered Correlation Forest
| check_alpha | Check Argument alpha |
| check_honesty_inference | Check Arguments honesty, honesty.fraction and inference |
| check_maxdepth | Check Argument max.depth |
| check_minnodesize | Check Argument min.node.size |
| check_mtry | Check Argument mtry |
| check_ntrees | Check Argument n.trees |
| check_samplefraction | Check Argument sample.fraction |
| check_x_y | Check Arguments x and y |
| class_honest_split | Honest Sample Split |
| forest_weights_fitted | Forest In-Sample Honest Weights |
| forest_weights_fitted_cpp | Forest In-Sample Honest Weights |
| forest_weights_predicted_cpp | Forest Out-of-Sample Honest Weights |
| generate_ordered_data | Generate Ordered Data |
| honest_fitted | Honest In-Sample Predictions |
| honest_fitted_cpp | Honest In-Sample Predictions |
| honest_predictions | Honest Out-of-Sample Predictions |
| honest_predictions_cpp | Honest Out-of-Sample Predictions |
| marginal_effects | Marginal Effects for Ordered Correlation Forest |
| mean_squared_error | Accuracy Measures for Ordered Probability Predictions |
| multinomial_ml | Multinomial Machine Learning |
| ocf | Ordered Correlation Forest |
| ordered_ml | Ordered Machine Learning |
| plot.ocf.marginal | Plot Method for ocf.marginal Objects |
| predict_forest_weights | Forest Out-of-Sample Weights |
| predict.mml | Prediction Method for mml Objects |
| predict.ocf | Prediction Method for ocf Objects |
| predict.ocf.forest | Prediction Method for ocf.forest Objects |
| predict.oml | Prediction Method for oml Objects |
| print.ocf | Print Method for ocf Objects |
| print.ocf.marginal | Print Method for ocf.marginal Objects |
| rename_latex | Renaming Variables for LATEX Usage |
| summary.ocf | Summary Method for ocf Objects |
| summary.ocf.marginal | Summary Method for ocf.marginal Objects |
| tree_info | Tree Information in Readable Format |
