R: Update 'brms' models based on multiple data sets

update.brmsfit_multiple {brms} | R Documentation

## Update brms models based on multiple data sets

### Description

This method allows to update an existing `brmsfit_multiple` object.

### Usage

    ## S3 method for class '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

    ## Not run:
    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)

    ## End(Not run)

[Package brms version 2.16.1 Index]