Get reference model structure from brmsfit
objects for use in
varsel
and related variable selection methods.
This method is called automatically when performing variable selection via
varsel.brmsfit
and so you will rarely need to call it manually
yourself.
# S3 method for brmsfit
get_refmodel(object, newdata = NULL, resp = NULL, folds = NULL, ...)
An object of class brmsfit
.
An optional data.frame for which to evaluate predictions. If
NULL
(default), the original data of the model is used.
NA
values within factors 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.
Optional names of response variables. If specified, predictions are performed only for the specified response variables.
Only used for k-fold variable selection. A vector of fold indices for each data point in data.
Further arguments currently ignored.
A refmodel
object to be used in
varsel
and related variable selection
methods.