predictive_error.brmsfit {brms}  R Documentation 
Posterior Draws of Predictive Errors
Description
Compute posterior draws of predictive errors, that is, observed minus predicted responses. Can be performed for the data used to fit the model (posterior predictive checks) or for new data.
Usage
## S3 method for class 'brmsfit'
predictive_error(
object,
newdata = NULL,
re_formula = NULL,
re.form = NULL,
method = "posterior_predict",
resp = NULL,
ndraws = NULL,
draw_ids = NULL,
sort = FALSE,
...
)
Arguments
object 
An object of class 
newdata 
An optional data.frame for which to evaluate predictions. If

re_formula 
formula containing grouplevel effects to be considered in
the prediction. If 
re.form 
Alias of 
method 
Method used to obtain predictions. Can be set to

resp 
Optional names of response variables. If specified, predictions are performed only for the specified response variables. 
ndraws 
Positive integer indicating how many posterior draws should
be used. If 
draw_ids 
An integer vector specifying the posterior draws to be used.
If 
sort 
Logical. Only relevant for time series models.
Indicating whether to return predicted values in the original
order ( 
... 
Further arguments passed to 
Value
An S x N array
of predictive error draws, where S is the
number of posterior draws and N is the number of observations.
Examples
## Not run:
## fit a model
fit < brm(rating ~ treat + period + carry + (1subject),
data = inhaler, cores = 2)
## extract predictive errors
pe < predictive_error(fit)
str(pe)
## End(Not run)