Usage
"WAIC"(x, ..., compare = TRUE, newdata = NULL, re_formula = NULL, allow_new_levels = FALSE, subset = NULL, nsamples = NULL, pointwise = NULL)
WAIC(x, ...)
Arguments
x
A fitted model object typically of class brmsfit
.
...
Optionally more fitted model objects.
compare
A flag indicating if the WAICs
of the models should be compared to each other.
newdata
An optional data.frame for which to evaluate predictions.
If NULL
(default), the orginal data of the model is used.
re_formula
formula containing random effects
to be considered in the prediction.
If NULL
(default), include all random effects;
if NA
, include no random effects.
allow_new_levels
A flag indicating if new
levels of random effects are allowed (defaults to FALSE
).
Only relevant if newdata
is provided.
subset
A numeric vector specifying
the posterior samples to be used.
If NULL
(the default), all samples are used.
nsamples
Positive integer indicating how many
posterior samples should be used.
If NULL
(the default) all samples are used.
Ignored if subset
is not NULL
.
pointwise
A flag indicating whether to compute the full
log-likelihood matrix at once or separately for each observation.
The latter approach is usually considerably slower but
requires much less working memory. Accordingly, if one runs
into memory issues, pointwise = TRUE
is the way to go.
By default, pointwise
is automatically chosen based on
the size of the model.