posterior_linpred.brmsfit {brms}  R Documentation 
Compute posterior samples of the linear predictor, that is samples 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.
## S3 method for class 'brmsfit' posterior_linpred( object, transform = FALSE, newdata = NULL, re_formula = NULL, re.form = NULL, resp = NULL, dpar = NULL, nlpar = NULL, nsamples = NULL, subset = NULL, sort = FALSE, ... )
object 
An object of class 
transform 
(Deprecated) 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 
Optional name of a predicted distributional parameter. If specified, expected predictions of this parameters are returned. 
nlpar 
Optional name of a predicted nonlinear parameter. If specified, expected predictions of this parameters are returned. 
nsamples 
Positive integer indicating how many posterior samples should
be used. If 
subset 
A numeric vector specifying the posterior samples 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 
## 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)