posterior_linpred.brmsfit {brms}  R Documentation 
Posterior Draws of the Linear Predictor
Description
Compute posterior draws of the linear predictor, that is draws before applying any link functions or other transformations. Can be performed for the data used to fit the model (posterior predictive checks) or for new data.
Usage
## S3 method for class 'brmsfit'
posterior_linpred(
object,
transform = FALSE,
newdata = NULL,
re_formula = NULL,
re.form = NULL,
resp = NULL,
dpar = NULL,
nlpar = NULL,
incl_thres = NULL,
ndraws = NULL,
draw_ids = NULL,
sort = FALSE,
...
)
Arguments
object 
An object of class 
transform 
Logical; if 
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 
resp 
Optional names of response variables. If specified, predictions are performed only for the specified response variables. 
dpar 
Name of a predicted distributional parameter
for which draws are to be returned. By default, draws
of the main distributional parameter(s) 
nlpar 
Optional name of a predicted nonlinear parameter. If specified, expected predictions of this parameters are returned. 
incl_thres 
Logical; only relevant for ordinal models when

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 
See Also
Examples
## Not run:
## fit a model
fit < brm(rating ~ treat + period + carry + (1subject),
data = inhaler)
## extract linear predictor values
pl < posterior_linpred(fit)
str(pl)
## End(Not run)