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Use this tag to ask about the nature of nonparametric or parametric methods, or the difference between the two. Nonparametric methods generally rely on few assumptions about the underlying distributions, whereas parametric methods make assumptions that allow data to be described by a small number of parameters.
0
votes
Multiple models compared over same data
You should not use Wilcoxon test at all: it assumes random sampling, and you are doung cross-validation. Maybe you should use something like 5×2 cv F-test (see Alpaydm, E. (1999). Combined 5 × 2 cv F …
2
votes
Non-parametric test equivalent to mixed ANOVA?
ezPerm function from ez package provides permutation-based versions of different ANOVAs, including mixed. It does not assume any normality.