BF from non-parametric z/t/p?
I am working in (structural) brain imaging and the consensus that parametric methods should not be used, therefore a lot of bootstrapping, permutation testing, robust testing, etc is going on. As far as I learned from you at the JASP workshop, right now there is no way to do non-parametric t-tests with the R package/in JASP, but I still would like to do some BF based hypothesis testing and here is the idea I would like to ask you to check:
There was a post in Alex Etz's blog about the maximum BF regarding a given p-value. Is it OK conceptually that I do the non-parametric statistical analysis with frequentists methods, meanwhile correcting for the multiple comparisons and false-positives, etc., which is again a kind of consensus in the brain imaging community, and then I could calculate the theoretically maximum BF for the resulted z/t/whatever score?