Batch process policy tree interpretations
Source:R/margot_interpret_policy_batch.R
margot_interpret_policy_batch.RdThis function now accepts a vector of model names to process and produces a single combined output. The common description is printed once at the top, followed by each model's specific findings. You can now control whether to interpret the depth-1 or depth-2 tree via the `max_depth` argument.
Usage
margot_interpret_policy_batch(
models,
model_names = NULL,
max_depth = 2L,
save_path = NULL,
prefix = NULL,
include_timestamp = FALSE,
...
)Arguments
- models
A list containing the results from multi-arm causal forest models.
- model_names
A character vector of model names to interpret. If NULL, all models are processed.
- max_depth
Integer, 1 or 2; which saved policy tree to interpret (default 2).
- save_path
The path where the combined interpretation will be saved. If NULL, nothing is saved.
- prefix
An optional prefix for the filename.
- include_timestamp
Logical; whether to include a timestamp in the filename (if desired).
- ...
Additional arguments to pass to margot_interpret_policy_tree(), including include_conditional_means (default TRUE) to add conditional means interpretation, use_math_notation (default FALSE) for clear, simple output format, output_format ("bullet" or "prose") for different text styles, and original_df to display CATEs on the original data scale.