Walk through entire chain of parameters to calculate full likelihood at each step, as was done during the model run. The argument keep defines the elements to be used, or if NULL, fit$keep is used.
1 2 | recalculate.lmerBayesllike(fit, model, error, bad = NULL, keep = NULL,
dup = TRUE, ...)
|
fit |
A fitted model. |
... |
Arguments passed to |
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