An increasing number of R packages include nonparametric tests for the interaction in two-way factorial designs. This paper briefly describes the different methods of testing and reports the resulting p-values of such tests on datasets for four types of designs: between, within, mixed, and pretest-posttest designs. Potential users are advised only to apply tests they are quite familiar with and not be guided by p-values for selecting packages and tests.
No takes yet. Share an insight, caveat, or question.
Jos Feys (2016) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: