valueprhr (version 0.1.0)

summarize_cv_results: Summarize Rolling Window Results

Description

Computes summary statistics from rolling window cross-validation.

Usage

summarize_cv_results(cv_results, bootstrap_reps = 300L)

Value

A data frame with summary statistics by model and partition.

Arguments

cv_results

Data frame from rolling_window_cv.

bootstrap_reps

Number of bootstrap replications. Default 300.

Examples

# \donttest{
if (requireNamespace("plm", quietly = TRUE)) {
  set.seed(123)
  panel <- data.frame(
    year = rep(2000:2029, 5),
    sector = rep(LETTERS[1:5], each = 30),
    log_direct = rnorm(150, 5, 0.5),
    log_production = rnorm(150, 5, 0.5)
  )
  panel$log_production <- panel$log_direct * 0.95 + rnorm(150, 0, 0.1)

  cv_results <- rolling_window_cv(panel, window_sizes = c(15, 20))
  summary_stats <- summarize_cv_results(cv_results)
  print(summary_stats)
}
# }