Set up a multivariate model formula for use in brms

Source: R/brmsformula.R

Set up a multivariate model formula for use in the brms package allowing to define (potentially non-linear) additive multilevel models for all parameters of the assumed response distributions.

mvbrmsformula(..., flist = NULL, rescor = NULL)

Arguments

...

Objects of class formula or brmsformula, each specifying a univariate model. See brmsformula for details on how to specify univariate models.

flist

Optional list of formulas, which are treated in the same way as formulas passed via the ... argument.

rescor

Logical; Indicates if residual correlation between the response variables should be modeled. Currently, this is only possible in multivariate gaussian and student models. If NULL (the default), rescor is internally set to TRUE when possible.

Value

An object of class mvbrmsformula, which is essentially a list containing all model formulas as well as some additional information for multivariate models.

Details

See vignette("brms_multivariate") for a case study.

Examples

bf1 <- bf(y1 ~ x + (1|g))
bf2 <- bf(y2 ~ s(z))
mvbf(bf1, bf2)
#> y1 ~ x + (1 | g) 
#> y2 ~ s(z)