- x
An R object of class brmsfit
or loo
depending
on the method.
- loo
An R object of class loo
. If NULL
,
brms will try to extract a precomputed loo
object
from the fitted model, added there via add_criterion
.
- k_threshold
The threshold at which Pareto \(k\)
estimates are treated as problematic. Defaults to 0.7
.
See pareto_k_ids
for more details.
- newdata
An optional data.frame for which to evaluate predictions. If
NULL
(default), the original data of the model is used. NA
values within factors (excluding grouping variables) are interpreted as if
all dummy variables of this factor are zero. This allows, for instance, to
make predictions of the grand mean when using sum coding. NA
values
within grouping variables are treated as a new level.
- resp
Optional names of response variables. If specified, predictions
are performed only for the specified response variables.
- check
Logical; If TRUE
(the default), some checks
check are performed if the loo
object was generated
from the brmsfit
object passed to argument fit
.
- recompile
Logical, indicating whether the Stan model should be
recompiled. This may be necessary if you are running reloo
on
another machine than the one used to fit the model.
- future_args
A list of further arguments passed to
future
for additional control over parallel
execution if activated.
- ...
Further arguments passed to
update.brmsfit
and log_lik.brmsfit
.
- fit
An R object of class brmsfit
.