Combine prediction tables

Combines multiple prediction tables (e.g., from different models or regions) into a single table. Supports weighted combination and collapsing regions.

Usage

combine_prediction_tables(
  predtabs,
  wts = rep(1, length(predtabs)),
  collapse_regions = FALSE
)

Arguments

predtabs

A list of prediction tables (data frames) to be combined.

wts

A vector of weights, with the same length as predtabs. Default is equal weights.

collapse_regions

A logical value; if TRUE, regions are collapsed in the final prediction table.

Value

A combined prediction table (data frame).

Details

For classification, this function pools class-probability columns (`prob_*`) and returns pooled predicted class and correctness. For regression (numeric `observed`), it pools `predicted` values and returns residual diagnostics.

Examples

# Create example prediction tables
observed = factor(sample(letters[1:2], 10, replace = TRUE))
predtab1 <- data.frame(.rownum = 1:10,
                       roinum = rep(1, 10),
                       observed = observed,
                       prob_A = runif(10),
                       prob_B = runif(10))
predtab2 <- data.frame(.rownum = 1:10,
                       roinum = rep(2, 10),
                       observed = observed,
                       prob_A = runif(10),
                       prob_B = runif(10))

# Combine the tables
combined_table <- combine_prediction_tables(list(predtab1, predtab2))