Update brms models based on multiple data sets — update.brmsfit

This method allows to update an existing brmsfit_multiple object.

# S3 method for brmsfit_multiple
update(object, formula., newdata = NULL, ...)

Arguments

object: An object of class brmsfit_multiple.
formula.: Changes to the formula; for details see update.formula and brmsformula.
newdata: List of data.frames to update the model with new data. Currently required even if the original data should be used.
...: Other arguments passed to update.brmsfit and brm_multiple.

Examples

if (FALSE) {
library(mice)
imp <- mice(nhanes2)

# initially fit the model
fit_imp1 <- brm_multiple(bmi ~ age + hyp + chl, data = imp, chains = 1)
summary(fit_imp1)

# update the model using fewer predictors
fit_imp2 <- update(fit_imp1, formula. = . ~ hyp + chl, newdata = imp)
summary(fit_imp2)
}