extract_and_flatten_results_aggregated: Flatten Results for Export

In RCtest: Reality Check and Predictive Ability Tests for Forecast Evaluation

Flatten Results for Export

Description

Prepares the comprehensive results list for export (e.g., to Microsoft Excel). Converts all htest objects and per-model results into flat data.frame objects, one per dataset.

Usage

extract_and_flatten_results_aggregated(comprehensive_results, alpha = 0.05)

Arguments

comprehensive_results	list output from run_comprehensive_erc_analysis.
alpha	Numeric significance level used to determine Reject_H0. Default is 0.05.

Value

list of data frames, one per dataset, each with columns: Model, Test_Type, P_Value, Statistic, Actual_Violations, Reject_H0.

See Also

run_comprehensive_erc_analysis, create_unified_summary, generate_comprehensive_report

Examples

data(metals)
realizations <- list(M = metals[, ncol(metals)])
prep_list    <- list(M = list(R_start = 0))
f_hat        <- list(list(NULL, NULL, metals))
names(f_hat) <- "M"
res <- run_comprehensive_erc_analysis(
  data_list_prepared = prep_list,
  mods_matrix        = matrix(0),
  alpha_grid         = 0.05,
  window_size        = 20,
  y_hat_all          = f_hat,
  y_raw              = realizations,
  block_length       = 5,
  n_boot             = 10,
  zp_quantile        = 0.05
)
excel_data <- extract_and_flatten_results_aggregated(res$aggregate_results, alpha = 0.05)
head(excel_data[[1]])

RCtest documentation built on June 2, 2026, 9:07 a.m.