unupdate {bayestestR} | R Documentation |
Un-update Bayesian models to their prior-to-data state
Description
As posteriors are priors that have been updated after observing some data, the goal of this function is to un-update the posteriors to obtain models representing the priors. These models can then be used to examine the prior predictive distribution, or to compare priors with posteriors.
Usage
unupdate(model, verbose = TRUE, ...)
## S3 method for class 'brmsfit'
unupdate(model, verbose = TRUE, ...)
## S3 method for class 'brmsfit_multiple'
unupdate(model, verbose = TRUE, newdata = NULL, ...)
Arguments
model |
A fitted Bayesian model. |
verbose |
Toggle warnings. |
... |
Not used |
newdata |
List of |
Details
This function in used internally to compute Bayes factors.
Value
A model un-fitted to the data, representing the prior model.
[Package bayestestR version 0.16.1 Index]