Small helper that checks if a model is a multivariate response model, i.e. a model with multiple outcomes.

## Usage

is_multivariate(x)

## Arguments

x

A model object, or an object returned by a function from this package.

## Value

A logical, TRUE if either x is a model object and is a multivariate response model, or TRUE if a return value from a function of insight

is from a multivariate response model.

## Examples

# \dontrun{
library(rstanarm)
data("pbcLong")
model <- suppressWarnings(stan_mvmer(
formula = list(
logBili ~ year + (1 | id),
albumin ~ sex + year + (year | id)
),
data = pbcLong,
chains = 1, cores = 1, seed = 12345, iter = 1000,
show_messages = FALSE, refresh = 0
))
#> Fitting a multivariate glmer model.
#>
#> Please note the warmup may be much slower than later iterations!

f <- find_formula(model)
is_multivariate(model)
#> [1] TRUE
is_multivariate(f)
#> [1] TRUE
# }