Man pages for bonander/CEAforests
Tree-based heterogenous cost-effectiveness and policy learning with individual-level data (beta)
| accept_curve | (Sub-)population acceptability curves. |
| avg_effects | Estimate average effects after CEA forests. |
| boot.dr_scores | Bootstrap average effects |
| boot.policy_scores | Bootstrap average effects |
| cate.prepare | Internal function. |
| cea_create_dot_body | Writes each node information If it is a leaf node: show it in... |
| cea_export_graphviz | Export a tree in DOT format. This function generates a... |
| cea_forest | Estimate causal forests for outcomes, costs and net monetary... |
| cea_policy_tree | Train a policy tree after a CEA forest. |
| ce_plane | Plot an individual-level or average cost-effectiveness plane... |
| debias_effects | Get de-biased heterogeneous effect estimates (for custom... |
| describe_forest | Create a descriptive table of the results. |
| dr.cate.regress | Internal function. |
| explain_forest | Explain the results from CEA forests using best linear... |
| icer.ci | ICERs with Fieller's method CIs |
| infer_policy | Conduct inference for a personalized treatment policy. |
| plot.accept_curve | Plotting function for (sub)-population acceptability curves. |
| plot.CEAforests | Plotting function for CEA forests. |
| plot.cea_policy_tree | Plot a cea_policy_tree tree object. |
| predict.CEAforests | Predict with a CEA forest. |
