Batch Processing of Policy Trees and Related Visualizations (Deprecated)
Source:R/margot_batch_policy.R
margot_batch_policy.Rd
This function is deprecated as of margot 0.2.1.65. Please use margot_policy() instead.
Arguments
- result_outcomes
A list containing the results from margot_multi_arm_causal_forest().
- policy_tree_args
A list of arguments to pass to margot_plot_policy_tree(). Default is list().
- decision_tree_args
A list of arguments to pass to margot_plot_decision_tree(). Default is list().
- dpi
The resolution of saved plots in dots per inch. Default is 600.
- width
The width of saved plots in inches. Default is 12.
- height
The height of saved plots in inches. Default is 12.
- save_plots
Logical indicating whether to save plots to disk. Default is TRUE.
- output_dir
The directory to save plots in. Default is here::here(push_mods).
- spend
A vector of spend levels to use for difference gain summaries. Default is c(0.2, 0.5).
- label_mapping
Optional named list for custom label mappings. Keys should be original variable names (with or without "model_" prefix), and values should be the desired display labels. Default is NULL.
Value
A list where each element corresponds to a model in the input `result_outcomes`. Each element is itself a list containing:
- policy_tree_plot
A ggplot object of the policy tree plot
- policy_tree_interpretation
A character string interpreting the policy tree
- qini_plot
A ggplot object of the Qini plot
- decision_tree_visualisation
A ggplot object visualizing the decision tree
- policy_combo_plot
A ggplot object of the policy combo plot
- diff_gain_summaries
A nested list containing difference gain summaries for each spend level