Set up basic grouping terms in brms
Function used to set up a basic grouping term in brms.
The function does not evaluate its arguments –
it exists purely to help set up a model with grouping terms.
gr is called implicitly inside the package
and there is usually no need to call it directly.
gr(..., by = NULL, cor = TRUE, id = NA, cov = NULL, dist = "gaussian")
... |
One or more terms containing grouping factors. |
by |
An optional factor variable, specifying sub-populations of the
groups. For each level of the |
cor |
Logical. If |
id |
Optional character string. All group-level terms across the model
with the same |
cov |
An optional matrix which is proportional to the withon-group
covariance matrix of the group-level effects. All levels of the grouping
factor should appear as rownames of the corresponding matrix. This argument
can be used, among others, to model pedigrees and phylogenetic effects. See
|
dist |
Name of the distribution of the group-level effects.
Currently |
## Not run: # model using basic lme4-style formula fit1 <- brm(count ~ Trt + (1|patient), data = epilepsy) summary(fit1) # equivalent model using 'gr' which is called anyway internally fit2 <- brm(count ~ Trt + (1|gr(patient)), data = epilepsy) summary(fit2) # include Trt as a by variable fit3 <- brm(count ~ Trt + (1|gr(patient, by = Trt)), data = epilepsy) summary(fit3) ## End(Not run)
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