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This is because the slopes are inferred from the types of the individual constituents. Adding cyl:gear to random won't do anything on top of making "gear" random. If gear is random and cyl is fixed, the constraints on the interaction are already set due to the way the interaction is produced using the Kronecker product.
It may be good to mention that BayesFactor automatically infers slopes in the tutorial for novices as well as giving a warning message sugested by @bwiernik.
When adding a random slope into a model, it does not appear in the
dataTypes
slot (easystats/insight#566):The text was updated successfully, but these errors were encountered: