Man pages for brunaw/hebart
Hierachical Embedded Bayesian Additive Regression Trees
| calculate_all | A function to calculate the likelihood of the fed parameters |
| calculate_parts_mu | A function to calculate the terms for the mu posterior |
| calculate_preds | Calculates predictions |
| data_handler | A function to adjust the data |
| diagnostics | Plots all diagnostics |
| diagnostics_density_plot | Density plots for tau, k1 or sqrt(k1/tau) |
| diagnostics_traceplot | Traceplot for tau, k1 or sqrt(k1/tau) |
| faster_det | A function to calculate the determinant of M (faster than... |
| get_avg_nodes | Gets node averages |
| grow_tree | Grows the current tree |
| hebart | Hierarchical Embedded Bayesian Additive Regression Trees |
| inv2 | A function to calculate the inversion of the M matrix |
| lk_ratio_grow | Likelihood ratio for grow |
| lk_ratio_k | Likelihood ratio for the sampled k1 |
| lk_ratio_prune | Likelihood ratio for prune. |
| marginal_dist | A function to calculate the marginal distribution of y |
| MH_update_hbart | The metropolis-hastings update for k1 |
| pipe | Pipe operator |
| plot_avg_nodes | Plots node averages |
| plot_mse_iter | MSE per iteration |
| predict_hebart | Predictions for the HEBART model |
| print.hebart | Print hebart |
| p_rule | Rule selection. |
| prune_tree | Prunes the current tree |
| ratio_grow | Final ratio for a growth step. |
| ratio_prune | Final ratio for a prune step |
| sample_parameters | sample_parameters |
| sample_pred | Prediction sampling |
| structure_ratio_grow | Tree structure ratio for grow |
| structure_ratio_prune | Tree structure ratio for prune. |
| transition_ratio_grow | Transition ratio for grow. |
| transition_ratio_prune | Transition ratio for prune |
| tree_prior | Tree prior |
