Create Summary Tables from forestsearch_KfoldOut Results

Formats the detailed output from forestsearch_KfoldOut(outall=TRUE) into publication-ready gt tables. This includes ITT estimates, original subgroup estimates, and K-fold subgroup estimates.

Usage

cv_summary_tables(
  kfold_out,
  title = "Cross-Validation Summary",
  subtitle = NULL,
  show_metrics = TRUE,
  digits = 3,
  font_size = 12,
  use_gt = TRUE
)

Arguments

kfold_out

List. Result from forestsearch_KfoldOut(res, outall = TRUE). Must contain itt_tab, SG_tab_original, SG_tab_Kfold, and optionally tab_all.

title

Character. Main title for combined table. Default: "Cross-Validation Summary".

subtitle

Character. Subtitle for table. Default: NULL (auto-generated).

show_metrics

Logical. Include agreement and finding metrics in output. Default: TRUE.

digits

Integer. Decimal places for numeric formatting. Default: 3.

font_size

Integer. Font size in pixels. Default: 12.

use_gt

Logical. Return gt table if TRUE, data.frame if FALSE. Default: TRUE.

Value

If use_gt = TRUE, returns a list with gt table objects:

• combined_table: Combined ITT and subgroup estimates

• itt_table: ITT estimates only

• original_table: Original full-data subgroup estimates

• kfold_table: K-fold subgroup estimates

• metrics_table: Agreement and finding metrics (if show_metrics = TRUE)

If use_gt = FALSE, returns equivalent data.frames.

See also

cv_metrics_tables for formatting forestsearch_tenfold() results

Examples

if (FALSE) { # \dontrun{
# Run K-fold CV
cv_results <- forestsearch_Kfold(fs.est = fs_result, Kfolds = 10)

# Get detailed output
kfold_out <- forestsearch_KfoldOut(cv_results, outall = TRUE)

# Create summary tables
cv_tables <- cv_summary_tables(kfold_out)
cv_tables$combined_table
cv_tables$metrics_table
} # }