Learn R Programming

brms (version 2.6.0)

update.brmsfit: Update brms models

Description

This method allows to update an existing brmsfit object

Usage

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

Arguments

object

An object of class brmsfit.

formula.

Changes to the formula; for details see update.formula and brmsformula.

newdata

Optional data.frame to update the model with new data.

recompile

Logical, indicating whether the Stan model should be recompiled. If NULL (the default), update tries to figure out internally, if recompilation is necessary. Setting it to FALSE will cause all Stan code changing arguments to be ignored.

...

Other arguments passed to brm.

Details

Sometimes, when updating the model formula, it may happen that R complains about a mismatch between model frame and formula. This error can be avoided by supplying your original data again via argument newdata.

Examples

Run this code
# NOT RUN {
fit1 <- brm(time | cens(censored) ~ age * sex + disease + (1|patient), 
            data = kidney, family = gaussian("log"))
summary(fit1)

## remove effects of 'disease'
fit2 <- update(fit1, formula. = ~ . - disease)
summary(fit2)

## remove the group specific term of 'patient' and
## change the data (just take a subset in this example)
fit3 <- update(fit1, formula. = ~ . - (1|patient), 
               newdata = kidney[1:38, ])
summary(fit3)

## use another family and add population-level priors
fit4 <- update(fit1, family = weibull(), inits = "0",
               prior = set_prior("normal(0,5)"))
summary(fit4)
# }
# NOT RUN {
# }

Run the code above in your browser using DataLab