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This method allows to update an existing brmsfit
object.
# S3 method for brmsfit
update(object, formula., newdata = NULL, recompile = NULL, ...)
An object of class brmsfit
.
Changes to the formula; for details see
update.formula
and brmsformula
.
Optional data.frame
to update the model with new data.
Data-dependent default priors will not be updated automatically.
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
.
# 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 {
# }
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