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Jan 10, 2017 at 14:40 comment added Paul Scotti @Pieter The first and second 'search.model' are slightly different, one uses a * for interacting factors. I am assuming based on what you said that using a mixed effects model would not adequately account for all the uncertainty for all of the levels you pointed out, and I would have to resort to Bayesian modelling to test the hypothesis?
Jan 8, 2017 at 22:03 comment added Pieter It looks like this problem as a lot of different uncertainties to assess on different levels. E.g. uncertainty caused by the player (not many games), uncertainty about objects (not recognized/seen often) and uncertainty about the method (less data about one of the methods). This is difficult to model, but if you really want to get to the bottom of this you can use Bayesian modelling. Popular tools are Stan and PyMC.
Jan 8, 2017 at 21:56 comment added Pieter Is it correct that your first seach.model and your second search.model are the same?
Jan 8, 2017 at 21:44 history edited Paul Scotti CC BY-SA 3.0
added 1 character in body
S Jan 8, 2017 at 21:44 history suggested Stefan CC BY-SA 3.0
improved formatting
Jan 8, 2017 at 21:44 review Suggested edits
S Jan 8, 2017 at 21:44
Jan 8, 2017 at 21:38 history asked Paul Scotti CC BY-SA 3.0