Explain a clinical prediction model — tr_explain • triageR

Generates variable importance or prediction explanations for a fitted triageR_model, using the DALEX framework under the hood.

Usage

tr_explain(
  model,
  method = c("permutation", "shap"),
  newdata = NULL,
  observation = 1
)

Arguments

model: A fitted triageR_model object from tr_fit().
method: Character. One of "permutation" (global variable importance) or "shap" (SHAP values for a single prediction).
newdata: Optional data frame to explain predictions on. If NULL, uses the training data.
observation: Integer. Row index of the observation to explain, only used when method = "shap". Defaults to 1.

Value

A triageR_explanation object (list) containing the explanation result and a plot.

Examples

if (FALSE) { # \dontrun{
tr_explain(model, method = "permutation")
tr_explain(model, method = "shap", observation = 3)
} # }