LMM cluster permutation #6
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| coefficient; | ||
| n_permutations = 10, | ||
| clusterforming_threshold = 1.8, | ||
| ) |
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| ) | |
| ) |
| ) = throw( | ||
| "The `extract_coefs` function is currently not implemented for mixed-effects models.", | ||
| ) | ||
| end |
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| end | |
| end |
| # tvals = abs.(r.estimate ./ r.stderror) | ||
| # return tvals | ||
| end | ||
| end |
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| end | |
| end |
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Initial code to run UnfoldMixedModel statistics via permutation testing and ClusterDepth.
Right now, no real interface exist, I used
pvaluesas the outfacing one. EDIT: This Is what I used inunfoldfor single-subject LMM pvalues.pvalueis the official StatsAPI one.Also the interface to select a statistical test via
typeis up for discussion.Next there is a difference between
permutation-test,clustercorrection-type / multiple-test-correction etc. E.g. you could use the permutation-scheme but want to use TFCE instead of ClusterDepth. You might not want to use permutations but FDR (but then you wouldnt use cluster correction). You might want to use bootstrapping and clusterdepth... so we have to come up with a good interface. Probably best to mirror some other toolbox (either HypothesisTests.jl or MNE probably)Next, I didnt want everyone to need to load MixedModels etc. when they install UnfoldStats. So I generated a new extension. But unfortunately, extensions are not allowed to have dependencies themselves, so one has to run
using MixedModelsPermutations,ClusterDepthfor now in order to activate the extension.Finally, I havent actually tested the code, so it very likely wont run yet!Edit: Code seems to do something at least. Haven't added unittests yet