An object of class
mvbrmsformula (or one that can
be coerced to that classes): A symbolic description of the model to be
fitted. The details of model specification are explained in
An object of class
data.frame (or one that can be coerced
to that class) containing data of all variables used in the model.
A description of the response distribution and link function to
be used in the model. This can be a family function, a call to a family
function or a character string naming the family. Every family function has
link argument allowing to specify the link function to be applied
on the response variable. If not specified, default links are used. For
details of supported families see
brmsfamily. By default, a
gaussian model is applied. In multivariate models,
family might also be a list of families.
(Deprecated) An optional
describing the correlation structure within the response variable (i.e.,
the 'autocorrelation'). See the documentation of
a description of the available correlation structures. Defaults to
NULL, corresponding to no correlations. In multivariate models,
autocor might also be a list of autocorrelation structures.
It is now recommend to specify autocorrelation terms directly
brmsformula for more details.
list of objects containing data, which
cannot be passed via argument
data. Required for some objects
used in autocorrelation structures to specify dependency structures
as well as for within-group covariance matrices.
Optional list containing user specified knot values to be used
for basis construction of smoothing terms. See
gamm for more details.
Should unused factors levels in the data be
dropped? Defaults to
(Deprecated) Logical; indicates whether the population-level
design matrices should be treated as sparse (defaults to
design matrices with many zeros, this can considerably reduce required
memory. Sampling speed is currently not improved or even slightly
decreased. It is now recommended to use the
sparse argument of
brmsformula and related functions.
Other arguments for internal usage only.