This function assesses the significance of ABC model results through randomization.
It generates a null distribution by permuting the co-occurrence matrix.
Usage
perm_test_abc(abc_results, co_matrix, n_permutations = 1000, alpha = 0.05)
Arguments
- abc_results
A data frame containing ABC results.
- co_matrix
The co-occurrence matrix used to generate the ABC results.
- n_permutations
Number of permutations to perform.
- alpha
Significance level.
Value
A data frame with ABC results and permutation-based significance measures.
Examples
if (FALSE) { # \dontrun{
randomized_results <- perm_test_abc(abc_results, co_matrix, n_permutations = 1000)
} # }
