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Control baseline conditions for mixed effects model?

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I'm fitting a generalized linear mixed-effects statistical model to my data using fitglme(). Is there a way to see (or even set) which conditions in the model correspond to the baseline/intercept? For categorical predictors, its easy to infer this info from the resulting table, but not for continuous variables.

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