brms: mvbrmsformula – R documentation

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mvbrmsformula

Set up a multivariate model formula for use in brms

Description

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.

Usage

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.

Details

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

Value

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

Examples

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

brms

Bayesian Regression Models using 'Stan'

v2.15.0

GPL-2

Authors

Paul-Christian Bürkner [aut, cre], Jonah Gabry [ctb], Sebastian Weber [ctb], Andrew Johnson [ctb], Martin Modrak [ctb]

Initial release

2021-03-10