abc_model_opt: Optimize ABC model calculations for large matrices

In LBDiscover: Literature-Based Discovery Tools for Biomedical Research

Optimize ABC model calculations for large matrices

Description

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.

LBDiscover documentation built on June 16, 2025, 5:09 p.m.