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Goal is to have random effect estimates of a mixed model as features in the model
Should be relatively straight forward
Transform data to long format (i guess there is something in tf package)
Fit Mixed model with where the functional feature is the outcome and id the input using nlme or lme4 (formula would need to be supplied, but usually we want random intercept and random slope)
"predict" the random effects (intercept + slope) for each id
return
The text was updated successfully, but these errors were encountered:
Goal is to have random effect estimates of a mixed model as features in the model
Should be relatively straight forward
The text was updated successfully, but these errors were encountered: