| DirichletRF-package | DirichletRF: Dirichlet Random Forest for Compositional Data |
| DirichletRF | Build a Dirichlet Random Forest for Compositional Responses |
| importance | Feature Importance for a Dirichlet Forest |
| importance.DirichletRF | Feature Importance for a Dirichlet Forest |
| permutation_importance | Permutation Feature Importance for a Dirichlet Forest |
| predict | Predict with a Dirichlet Forest |
| predict.DirichletRF | Predict with a Dirichlet Forest |
| predict_weights | Proximity Weights for New Observations |
| Custom Print Method for DirichletRF Objects | |
| print.DirichletRF | Custom Print Method for DirichletRF Objects |
| sample_conditional | Draw Conditional Samples from a Dirichlet Forest |