postprocess_brm: Generic S3 method for postprocessing the fitted brm model

In bmm: Easy and Accessible Bayesian Measurement Models Using 'brms'

Generic S3 method for postprocessing the fitted brm model

Description

Called by bmm() to automatically perform some type of postprocessing depending on the model type. It will call the appropriate postprocess_brm.* methods based on the list of classes defined in the .model_* functions. For models with several classes listed, it will call the functions in the order they are listed. Thus, any operations that are common to a group of models should be defined in the appropriate postprocess_brm.* function, where \* corresponds to the shared class. For example, for the sdm model, the postprocessing involves setting the link function for the c parameter to "log", because it was coded manually in the stan code, but it was specified as "identity" in the brms custom family. If your model requires no postprocessing, you can skip this method, and the default method will be used (which returns the same brmsfit object that was passed to it).

Usage

postprocess_brm(model, fit, ...)

Arguments

model	A model list object returned from check_model()
fit	the fitted brm model returned by call_brm()
...	Additional arguments passed to the method

Value

An object of class brmsfit, with any necessary postprocessing applied

Examples

fit <- readRDS("my_saved_fit.rds")
postprocessed_fit <- prostprocess_brm(fit)

bmm documentation built on May 29, 2024, 11:52 a.m.