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Apply statistical validation to ABC model results with support for large matrices

Source: R/abc_model.R
validate_abc.Rd

This function performs statistical tests to validate ABC model results. It calculates p-values using hypergeometric tests and applies correction for multiple testing. The function is optimized to work with very large co-occurrence matrices.

Usage

validate_abc(
  abc_results,
  co_matrix,
  alpha = 0.05,
  correction = c("BH", "bonferroni", "none"),
  filter_by_significance = FALSE
)

Arguments

abc_results

A data frame containing ABC results.

co_matrix

The co-occurrence matrix used to generate the ABC results.

alpha

Significance level (p-value threshold).

correction

Method for multiple testing correction.

filter_by_significance

Logical. If TRUE, only returns significant results.

Value

A data frame with ABC results and statistical significance measures.

Examples

if (FALSE) { # \dontrun{
validated_results <- validate_abc(abc_results, co_matrix)
} # }