Construct a Region Importance Result

Usage

region_importance_result(
  importance,
  importance_map,
  p_values,
  p_value_map,
  stats_table,
  iteration_log,
  model_spec,
  importance_vector_raw = NULL
)

Arguments

importance: Numeric vector of per-feature importance scores.
importance_map: Spatial object of importance values.
p_values: Numeric vector of Wilcoxon p-values.
p_value_map: Spatial object of -log10(p) values.
stats_table: Tibble with per-feature statistics.
iteration_log: Tibble with per-iteration performance.
model_spec: The input model specification.
importance_vector_raw: Raw importance vector before spatial mapping (default NULL).

Value

An S3 object of class region_importance_result.

Examples

if (FALSE) { # \dontrun{
  # Typically created by region_importance(), not directly
  result <- region_importance_result(
    importance = c(0.1, 0.2),
    importance_map = NULL,
    p_values = c(0.05, 0.01),
    p_value_map = NULL,
    stats_table = tibble::tibble(feature_id = 1:2),
    iteration_log = tibble::tibble(iter = 1:10),
    model_spec = list()
  )
} # }