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Users can specify which group-level "random" effects to condition on when making predictions. brms is consistent with other mixed modeling packages (lme4, rstanarm, etc.) in allowing (i) a one-sided formula specifying the effects to condition on, (ii) NULL to condition on all effects in the model, or (iii) NA to include no group-level effects.
Like the other packages, brms accepts re_formula = ~0 as an equivalent to re_formula = NA, but this is not documented for the predict.brmsfit method.
The text was updated successfully, but these errors were encountered:
Users can specify which group-level "random" effects to condition on when making predictions.
brms
is consistent with other mixed modeling packages (lme4
,rstanarm
, etc.) in allowing (i) a one-sided formula specifying the effects to condition on, (ii)NULL
to condition on all effects in the model, or (iii)NA
to include no group-level effects.Like the other packages,
brms
acceptsre_formula = ~0
as an equivalent tore_formula = NA
, but this is not documented for thepredict.brmsfit
method.The text was updated successfully, but these errors were encountered: