Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

update.brmsfit_multiple

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)

brms

Bayesian Regression Models using 'Stan'

v2.15.0
GPL-2
Authors
Paul-Christian Bürkner [aut, cre], Jonah Gabry [ctb], Sebastian Weber [ctb], Andrew Johnson [ctb], Martin Modrak [ctb]
Initial release
2021-03-10

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.