The documents in this section explain how to perform the important step of checking whether a model you have built fits the technical assumptions used by the modelling process.
This is important because models which do not meet these assumptions may produce misleading results such as missing important effects or being overly biased towards runs which are for some reason very different to the other runs in the experiment.
A background section explaining the assumptions behind linear models, introducing the main tools and how to use them.
Statistical information on how the model diagnostics are calculated.
How to create model diagnostics (Coming Soon!)
Tutorial article explaining how to access model diagnostic plots.