Optimize ABC model calculations for large matrices

This function implements an optimized version of the ABC model calculation that's more efficient for large co-occurrence matrices.

Usage

abc_model_opt(
  co_matrix,
  a_term,
  c_term = NULL,
  min_score = 0.1,
  n_results = 100,
  chunk_size = 500
)

Arguments

co_matrix

A co-occurrence matrix produced by create_cooccurrence_matrix().

a_term

Character string, the source term (A).

c_term

Character string, the target term (C). If NULL, all potential C terms will be evaluated.

min_score

Minimum score threshold for results.

n_results

Maximum number of results to return.

chunk_size

Number of B terms to process in each chunk.

Value

A data frame with ranked discovery results.

Examples

if (FALSE) { # \dontrun{
abc_results <- abc_model_opt(co_matrix, a_term = "migraine")
} # }