bctpy
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Permutation max = 0 at stringent t-thresholds
In nbs_bct
permutation max appears to always return 0 with the following args:
pvals, adj, null_dist = nbs_bct(scz, controls, thresh=20, tail='both', k = 100, verbose = True, seed = None)
The output is the following:
max component size is 8404
estimating null distribution with 100 permutations
permutation 1 of 100. Permutation max is 0.0. Observed max is 8404.0. P-val estimate is 0.000
permutation 2 of 100. Permutation max is 0.0. Observed max is 8404.0. P-val estimate is 0.000
permutation 3 of 100. Permutation max is 0.0. Observed max is 8404.0. P-val estimate is 0.000
Is the behaviour expected? The connectivity matrix is 1000x1000 (Schaefer 2018).